System and method for climate control and temperature regulation using robotic space-based infrared radiation filtering

Abstract

Exemplary embodiments of the present disclosure are directed towards a system for climate control and temperature regulation using robotic space-based infrared radiation filtering. The system includes an infrared radiation filtering subsystem positioned at or near the Earth–Sun Lagrange Point (L1), comprising a modular grid structure formed by a plurality of optically selective tiles configured to attenuate a controlled fraction of solar infrared radiation while allowing visible light to pass substantially unaffected. A plurality of robotic units, including stationary and assembly robots, cooperatively assemble, stabilize, and maintain the grid structure. An onboard control and data processing unit embedded with artificial intelligence (AI) algorithms autonomously regulates optical and positional parameters, while a communication module facilitates bidirectional data exchange with a control center that includes a user-interfacing unit for monitoring and supervisory control. The system, thereby, achieves sustainable global temperature regulation and, enhanced climate stability without disrupting natural illumination or ecological balance.

Description

“SYSTEM AND METHOD FOR CLIMATE CONTROL AND TEMPERATURE REGULATION USING ROBOTIC SPACE-BASED INFRARED RADIATION FILTERING”TECHNICAL FIELD

[0001] The present disclosure relates generally to the field of climate engineering and environmental control systems, and more particularly to a system and method for climate control and temperature regulation using robotic space-based infrared radiation filtering. The disclosure pertains to space-based thermal management technologies that employ autonomous robotic systems, modular optical filtering structures, and artificial intelligence (Al)-enabled control mechanisms to selectively attenuate solar infrared radiation at strategic orbital positions such as the Earth- Sun Lagrange Point (LI). More specifically, the disclosure is directed towards the development of robotic, modular, and adaptive space architectures configured to regulate planetary temperature, mitigate global warming, and maintain ecological and optical equilibrium through infrared radiation modulation while preserving the natural transmission of visible light.BACKGROUND

[0002] Global warming and climate change represent some of the most critical environmental and socio economic challenges of the twenty first century. These phenomena are characterized by a long term increase in the Earth’s mean surface temperature and significant alterations in global climate patterns. The primary driver of these changes is the anthropogenic accumulation of greenhouse gases such as carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, and ozone depleting substances, which enhance the greenhouse effect by trapping outgoing longwave infrared radiation. The resultant radiative forcing has led to measurable disturbances in the Earth’s energy balance, influencing hydrological cycles, oceanic currents, and atmospheric circulation. These changes have triggered widespread environmental disruptions, including accelerated melting of polar ice caps, rising sea levels, and increasing frequency and intensity of extreme weather events such as hurricanes, heatwaves, floods, and droughts. Such consequences pose severe risks to natural ecosystems, agricultural productivity, water resources, human health, and global economic stability.

[0003] Traditional approaches to mitigating climate change have primarily focused on reducing carbon emissions through energy efficiency improvements, adoption of renewableenergy sources, and the deployment of carbon capture, utilization, and storage technologies. While these methods constitute essential pillars of the global climate mitigation strategy, they are constrained by substantial technical, economic, and societal limitations. Carbon capture systems, for instance, are inherently energy intensive, requiring significant amounts of energy to capture, compress, transport, and sequester carbon dioxide. When this energy is derived from fossil fuels, the overall climate benefit is diminished, limiting the effectiveness of the technology. Additionally, such infrastructure involves high capital expenditure and continuous operational costs, often relying on policy incentives, subsidies, or financial support to be economically viable. The long term integrity of geological storage sites further introduces uncertainty, as the risk of carbon dioxide leakage poses both environmental and safety concerns, necessitating ongoing monitoring and complex management systems. Beyond these challenges, carbon capture methods may inadvertently prolong dependence on fossil fuel based systems, delaying the transition toward sustainable energy alternatives. Efforts to utilize captured carbon dioxide, such as conversion into synthetic fuels, construction materials, or industrial feedstocks, face scalability challenges, high production costs, and uncertain market demand, further limiting their feasibility as comprehensive climate solutions.

[0004] In addition to carbon capture and renewable energy deployment, climate mitigation strategies encompass a broad range of technological, ecological, behavioral, and experimental approaches. On the technological front, large scale deployment of low carbon energy systems including solar photovoltaic and concentrated solar power, onshore and offshore wind energy, hydroelectricity, geothermal power, and emerging marine and tidal energy systems is crucial for reducing reliance on fossil fuels. Advances in energy storage technologies such as lithium ion and flow batteries, pumped hydro storage, and long duration storage solutions are essential to address intermittency in renewable generation. Electrification of transportation, industrial processes, and heating, along with the development of green hydrogen, ammonia, and synthetic fuels, represents a vital step toward decarbonizing difficult to abate sectors. Industrial decarbonization strategies such as low clinker cement production, hydrogen based steelmaking, and electrification of high temperature processes provide additional pathways for reducing emissions. Emerging negative emission technologies including direct air capture, bioenergy with carbon capture and storage, and enhanced mineralization of carbon dioxide aim to remove legacy emissions from the atmosphere. However, these approaches remain limited by high energy requirements, elevated costs, and scalability constraints.

[0005] Nature based solutions represent another significant component of the mitigation portfolio. Approaches such as reforestation, afforestation, avoided deforestation, and improved forest management enhance terrestrial carbon storage, while soil carbon sequestration methods such as conservation agriculture, cover cropping, no till farming, agroforestry, and biochar application help retain carbon within agricultural systems. Coastal and wetland restoration initiatives including mangrove planting, saltmarsh regeneration, and peatland rehabilitation act as high density carbon sinks while offering co benefits such as shoreline protection and biodiversity preservation. Similarly, blue carbon strategies that employ macroalgae cultivation and seagrass restoration utilize marine ecosystems to capture carbon at scale. Integrated landscape management practices combining food production, ecosystem restoration, and carbon sequestration further enhance mitigation benefits while maintaining ecological balance and socio economic co benefits.

[0006] Behavioral and societal interventions are equally crucial for achieving substantial emissions reductions. Modifying consumption patterns such as reducing air travel, limiting reliance on fossil fuel intensive diets, and curbing excessive consumption of energy intensive goods can significantly lower individual and collective carbon footprints. Public awareness campaigns, climate education, eco labeling, incentive based policies, and social nudges can promote widespread adoption of low carbon behaviors. Sustainable urban planning, promotion of public transportation, expansion of cycling infrastructure, remote work policies, and responsible procurement frameworks further strengthen structural support for behavioral transformation, enabling long term emission reductions at community and national levels.

[0007] Experimental and high risk geoengineering strategies such as solar radiation management have been proposed as potential methods for rapid temperature control. Techniques including stratospheric aerosol injection, cloud brightening, space based reflectors, and surface albedo modification aim to reflect a fraction of incoming solar radiation to lower global temperatures. However, these methods carry significant uncertainties and potential environmental consequences such as regional precipitation disruptions, ozone depletion, and ecological imbalance. Consequently, such strategies require rigorous evaluation, strong governance, and comprehensive risk mitigation before consideration for large scale implementation.

[0008] Taken together, the existing climate mitigation landscape illustrates a diverse yet fragmented approach that combines renewable energy adoption, carbon capture and storage,nature based solutions, behavioral transformation, and experimental geoengineering. Despite this diversity, significant gaps remain in scalability, cost effectiveness, environmental safety, societal acceptance, and long term global coordination. The persistence of these gaps underscores the urgent need for innovative solutions that can provide immediate, sustainable, and large scale temperature regulation while complementing ongoing decarbonization efforts.

[0009] Existing global mitigation strategies predominantly focus on the removal or sequestration of atmospheric carbon dioxide through methods such as direct air capture, bioenergy with carbon capture and storage, afforestation, and soil carbon sequestration. While these methods are vital, they treat carbon dioxide as a static pollutant rather than acknowledging its dynamic radiative behavior, specifically how it interacts with other atmospheric constituents, cloud systems, and heat feedback mechanisms that amplify global warming. This concentration focused approach overlooks the spatial and temporal variability of carbon dioxide’s influence within the Earth’s radiative system.

[0010] Moreover, carbon dioxide does not exert a uniform warming effect across the planet. Its contribution to radiative forcing varies according to altitude, latitude, atmospheric layering, and the presence of aerosols or water vapor. Therefore, approaches that aim to modify how carbon dioxide interacts with incoming and outgoing radiation rather than solely reducing its concentration may achieve faster and more efficient stabilization of global temperatures compared to large scale removal techniques.

[0011] Additionally, there exists a temporal mismatch between conventional mitigation efforts and the accelerating pace of climate feedback mechanisms. Carbon capture, reforestation, and emission reduction strategies typically require decades to produce measurable outcomes, whereas processes such as polar ice melt, permafrost thaw, and tropical forest degradation are advancing much more rapidly. This time lag leaves the planet exposed to continued short term warming even as long term mitigation measures are progressively deployed.

[0012] From an energy balance perspective, climate change arises from an imbalance between the incoming solar energy and the Earth’s capacity to re emit heat as infrared radiation. Greenhouse gases trap excess energy, contributing directly to this imbalance. Conventional carbon mitigation methods do not directly address this radiative disequilibrium. A complementary solution that modulates the solar and infrared energy flux reaching Earth cantherefore provide immediate and measurable thermal relief, buying time for long term decarbonization and adaptation technologies to take full effect.

[0013] The overemphasis on carbon removal has led to the under exploration of approaches that modulate carbon dioxide’s climatic influence rather than eliminating it altogether. Addressing this gap offers a transformative opportunity to temporarily regulate the Earth’s energy balance, reduce near term climate risks, and create a vital temporal buffer that allows sustainable mitigation technologies to mature. Accordingly, there exists a pressing need for a non invasive, scalable, and reversible system capable of directly modulating solar infrared radiation flux to achieve controlled planetary temperature regulation without interfering with atmospheric composition or natural ecological balance.

[0014] In light of the aforementioned discussion, there exists a need for an innovative, autonomous, and sustainable system that can directly regulate the amount of solar infrared radiation reaching the Earth’s surface without altering the natural composition of the atmosphere.SUMMARY

[0015] The following presents a simplified summary of the disclosure in order to provide a basic understanding of the reader. This summary is not an extensive overview of the disclosure and it does not identify key / critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[0016] An objective of the present disclosure is directed towards a system and method for climate control and temperature regulation using robotic space-based infrared radiation filtering.

[0017] Another objective of the present disclosure is directed towards mitigating global warming by significantly reducing the amount of infrared (IR) radiation reaching Earth's surface. This will help stabilize global temperatures, slow the melting of polar ice, and reduce the frequency of extreme weather events.

[0018] Another objective of the present disclosure is directed towards enhancing weather stability by contributing to the stabilization of weather patterns disrupted by climate change. By reducing temperature fluctuations, the system can decrease the intensity and frequency of storms, cyclones, and other severe weather phenomena.

[0019] Another objective of the present disclosure is directed towards supporting the global solar energy industry by optimizing conditions for solar energy production. The system allows visible light to pass through while filtering IR radiation, ensuring that solar panels operate efficiently without being negatively impacted by excess heat.

[0020] Another objective of the present disclosure is directed towards pioneering space-based climate engineering techniques by utilizing autonomous robotic units for the assembly and maintenance of the grid structure. This approach can pave the way for future large-scale engineering projects, including asteroid deflection and space-based solar power stations.

[0021] Another objective of the present disclosure is directed towards adapting the technology for terraforming and colonization of Mars. By managing solar radiation reaching the Martian surface, the grid could regulate temperatures and facilitate conditions conducive to colonization efforts.

[0022] Another objective of the present disclosure is directed towards leveraging the same robotic technology for building structures on Mars, assembling habitats, or creating solar farms, thus providing a versatile toolset for early-stage colonization.

[0023] Another objective of the present disclosure is directed towards the provision of non- invasive climate control, operating without intrusive interventions and effectively filtering solar radiation while preserving ecosystems and natural light conditions on Earth.

[0024] Another objective of the present disclosure is directed towards enhancing energy efficiency, as the grid's operation does not significantly increase energy demand, unlike Carbon Capture and Storage (CCS) processes that are energy-intensive and costly.

[0025] Another objective of the present disclosure is directed towards enhancing solar energy production, as the system allows visible light to pass through while filtering IR radiation, thus supporting the growth of the renewable energy sector.

[0026] Another objective of the present disclosure is directed towards the long-term sustainability of the technology, which minimizes the risks associated with geological storage by eliminating concerns about CO2 leakage and the complexities of monitoring and verifying storage sites.

[0027] Another objective of the present disclosure is directed towards the capability for realtime adaptability, provided by the autonomous robotic units that enable dynamic adjustments in response to changing solar angles and radiation levels, ensuring the system remains effective in diverse conditions.

[0028] Another objective of the present disclosure is directed towards the scalability of the infrastructure, as the grid's design allows for future expansion with additional hexagonal tiles, enhancing solar radiation management and improving overall climate control efforts.

[0029] Another objective of the present disclosure is directed towards adapting the technology for various space-based projects, including climate engineering and potential planetary colonization efforts, showcasing its broader relevance beyond immediate climate concerns.

[0030] Another objective of the present disclosure is directed towards achieving autonomous calibration and continuous maintenance of the infrared radiation filtering subsystem, enabling self-correcting optical alignment and structural adjustments without human intervention.

[0031] Another objective of the present disclosure is directed towards providing adaptive optical modulation through dynamically tunable materials such as electrochromic, photonic, or metamaterial layers, which allow variable infrared attenuation ratios to match changing climatic or seasonal conditions.

[0032] Another objective of the present disclosure is directed towards ensuring operational resilience through a fail-safe, redundant architecture wherein localized component failures are compensated by adjacent modules or sub-arrays to maintain consistent radiative performance.

[0033] Another objective of the present disclosure is directed towards employing decentralized swarm-intelligence algorithms that enable distributed decision-making, predictive maintenance, and cooperative robotic task allocation for efficient large-scale operation and assembly.

[0034] Another objective of the present disclosure is directed towards enabling predictive and preventive maintenance through continuous data fusion from multi-spectral sensors, radiation detectors, and positional feedback units, ensuring long-term reliability and minimal downtime.

[0035] Another objective of the present disclosure is directed towards supporting modular scalability through interoperable mechanical and communication interfaces, allowing nextgeneration tiles, robots, and control subsystems to integrate seamlessly with existing infrastructure.

[0036] Another objective of the present disclosure is directed towards facilitating tiered or multilayer grid architectures for advanced spectral control, redundancy, and enhanced optical precision across varied orbital configurations.

[0037] Another objective of the present disclosure is directed towards enabling flexible deployment across gravitationally semi-stable orbits beyond the LI region, thereby broadening operational feasibility and resilience against environmental perturbations.

[0038] Another objective of the present disclosure is directed towards promoting long-term evolution and adaptability of the system by allowing progressive technological upgrades, software enhancements, and hardware replacement without decommissioning prior installations.

[0039] Another objective of the present disclosure is directed towards establishing a safe, reversible, and globally scalable system that provides immediate thermal regulation benefits while complementing terrestrial decarbonization strategies, serving as a non-intrusive transitional measure toward sustainable climate stabilization.

[0040] According to an exemplary aspect, a system for climate control and temperature regulation using robotic space-based infrared radiation filtering.

[0041] According to another exemplary aspect, the system includes an infrared radiation fdtering subsystem configured to be positioned at or near an Earth- Sun Lagrange Point (LI) or any equivalent gravitationally semi-stable region, wherein the subsystem selectively filters a portion of incident solar radiation.

[0042] According to another exemplary aspect, a plurality of optically selective tiles forming a modular grid structure, wherein the tiles attenuate a predetermined fraction of solar infrared radiation while transmitting visible light substantially unaffected, thereby maintaining natural illumination and optical transparency from Earth.

[0043] According to another exemplary aspect, a plurality of robotic units including stationary robots and assembly robots cooperatively configured to assemble, stabilize, and maintain the grid structure, wherein the stationary robots define circumferential boundary positions and the assembly robots perform tile transport, placement, and replacement operations.

[0044] According to another exemplary aspect, a communication module configured to facilitate bidirectional communication between the robotic units, the infrared radiation filtering subsystem, and a control center, whereby real-time telemetry, command exchange, and synchronization between space-based and ground-based components are achieved.

[0045] According to another exemplary aspect, an onboard control and data processing unit configured with artificial intelligence (Al) algorithms to autonomously monitor, analyze, and regulate operational parameters of the infrared radiation filtering subsystem, wherein the AI- based control unit continuously adjusts tile orientation, optical response, and robotic positioning to maintain optimal infrared attenuation.

[0046] According to another exemplary aspect, a control center including a user interfacing unit configured to monitor performance, receive telemetry and diagnostic information from the onboard control and data processing unit, and transmit supervisory updates or configuration data as required.

[0047] According to another exemplary aspect, thereby reducing the incident infrared radiation reaching the Earth by approximately one to three percent without substantially affectingtransmission in the visible spectrum, thus facilitating global temperature regulation, enhancing climate stability, and maintaining ecological and optical equilibrium.BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.

[0049] FIG. 1A is an example diagram depicting a system for climate control and temperature regulation using robotic space-based infrared radiation filtering, in accordance with one or more exemplary embodiments.

[0050] FIG. IB is an example diagram depicting an environment of the infrared radiation filtering subsystem strategically located at Lagrange Point 1 (LI), in accordance with one or more exemplary embodiments.

[0051] FIG. 2 is a flowchart depicting an exemplary method for deployment and assembly of robotic space-based infrared radiation filtering subsystem, in accordance with one or more exemplary embodiments.

[0052] FIG. 3 is a flowchart depicting an exemplary method for operational management and optimization of the grid structure, in accordance with one or more exemplary embodiments.

[0053] FIG. 4 is a flowchart depicting an exemplary method for maintenance and expansion of the grid structure, in accordance with one or more exemplary embodiments.

[0054] FIG. 5A, an exemplary schematic representation of a positional configuration of stationary robots arranged circumferentially at or near the Earth-Sun Lagrange Point LI is illustrated, in accordance with an exemplary embodiment of the present disclosure.

[0055] FIG. 5B is an exemplary schematic representation 500 of a cooperative arrangement between stationary robots and assembly robots positioned at or near the Earth-Sun Lagrange Point LI is illustrated, in accordance with an exemplary embodiment of the present disclosure.

[0056] FIG. 5 C is an exemplary schematic representation of a substantially assembled configuration of the grid structure formed by the cooperative operation of stationary and assembly robots is illustrated, in accordance with an exemplary embodiment of the present disclosure.

[0057] FIG. 6 is a flowchart illustrating an exemplary method for Al-based control, communication, and feedback architecture of the infrared radiation filtering subsystem, in accordance with an exemplary embodiment of the present disclosure.

[0058] FIG. 7 is a flowchart illustrating an exemplary method for active calibration and continuous maintenance of the infrared radiation filtering subsystem, in accordance with an exemplary embodiment of the present disclosure.

[0059] FIG. 8 is a flowchart illustrating an exemplary method for scalability, modular expansion, and planetary adaptation of the infrared radiation filtering subsystem, in accordance with an exemplary embodiment of the present disclosure.

[0060] FIG. 9 is a flowchart illustrating an exemplary method for climate control and temperature regulation using robotic space-based infrared radiation filtering, in accordance with an exemplary embodiment of the present disclosure.

[0061] FIG. 10 is a block diagram illustrating the details of a digital processing system in which various aspects of the present disclosure are operative by execution of appropriate software instructions.DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

[0062] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and ofbeing practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[0063] The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0064] Referring to FIG. 1A illustrating an exemplary schematic representation of a system and method for climate control and temperature regulation using robotic space based infrared radiation filtering, in accordance with the present disclosure. The system mitigates global warming and regulates planetary temperature by selectively attenuating a controlled fraction of solar infrared radiation, thereby reducing the total heat energy incident on Earth without significantly affecting visible light transmission or natural illumination.

[0065] The system 100a includes an infrared radiation filtering subsystem 102, multiple robotic units 104, sensors 105, thrusters 106, a gyroscopic unit 108, a propulsion unit 110, a grid structure 112, multiple hexagonal tiles 114, a network 116, a control center 118, and a user interfacing unit 120. The multiple robotic units 104 may include assembly and stabilizer robots.

[0066] The infrared radiation filtering subsystem 102 is positioned substantially near the Earth- Sun Lagrange Point 1, referred to as LI . The subsystem comprises a modular grid structure 112 formed of a plurality of filtering tiles 114 arranged in a hexagonal, honeycomb, or functionally equivalent tessellation. Each tile is designed to filter approximately one to three percent (1-3%) of solar infrared radiation across near, mid, and far infrared bands while remaining optically transparent within the visible spectrum so that no observable shadow is cast on Earth.

[0067] The tiles 114 are fabricated from optically selective materials, coatings, or nanostructured elements chosen for infrared selectivity, durability, and mass efficiency in space environments. Suitable materials include thin films, dielectric coatings, metamaterials,photonic layers, nanoparticle composites, graphene membranes, or multilayer dielectric stacks. The filtering effect is achieved through wavelength selective coatings, plasmonic or photonic lattice structures, quantum dot arrays, electrochromic films, or tunable nanomeshes that modulate the transmission spectrum through active or passive control. Certain embodiments employ self regulating or electrically tunable materials that permit minor spectral adjustments based on feedback from sensors or Earth based monitoring systems.

[0068] The system may include multiple tiles 114 that form the primary optical filtering layer of the infrared radiation filtering subsystem 102. The tiles 114 may collectively be configured to attenuate a controlled fraction of infrared radiation while maintaining high transmission of visible light to avoid any noticeable alteration in natural illumination on Earth. The tiles 114 may be designed to achieve selective attenuation in the range of approximately one to three percent of incident infrared radiation across near, mid, and far infrared bands.

[0069] Each tile 114 may be fabricated from optically selective materials, coatings, or nanostructured elements chosen for infrared selectivity, durability, radiation resistance, and mass efficiency in the space environment. Suitable materials may include optical glass, thin films, dielectric coatings, metamaterials, photonic layers, nanoparticle-infused composites, graphene membranes, or multilayer dielectric stacks. The filtering effect may be achieved through wavelength-selective coatings, plasmonic or photonic lattice structures, quantum dot arrays, electrochromic films, or tunable nanomeshes that modulate the spectral transmission profile through active or passive control. In certain embodiments, the tiles 114 may employ self-regulating or electrically tunable materials that permit minor spectral adjustments based on feedback from sensors 105 or Earth-based monitoring systems.

[0070] Each tile 114 may incorporate modular coupling interfaces along its periphery to enable reversible attachment and detachment with adjacent tiles 114 and robotic units 104. The coupling mechanisms may include but not limited to magnetic, electrostatic, snap-fit, hybrid mechanical, or robotic clamp systems, optionally augmented by micro-alignment features such as conical guides, fiducial markers, or micro-positioning actuators to ensure precise optical continuity, vibration tolerance, and mechanical stability across the grid structure 112. The modular configuration may allow damaged or degraded tiles 114 to be replaced or reconfigured without disrupting the surrounding structure, thereby enhancing maintainability and system longevity.

[0071] In certain embodiments, each tile 114 may optionally include embedded sensors 105 configured to monitor parameters such as solar flux, temperature, and vibrational effects. The sensor data may be transmitted to the robotic units, the communication module, or the onboard control and data processing unit to enable adaptive calibration of the optical response in real time. This integration of sensing and adaptive filtering functionality within the modular tile subsystem may enhance overall system efficiency, resilience, and optical precision in maintaining the desired level of infrared attenuation while preserving visible light transmission.

[0072] The multiple robotic units 104 operate cooperatively to construct, position, and stabilize the grid structure. The stabilizer or stationary robots are configured to occupy circumferential boundary positions and maintain formation stability using the gyroscopic unit 108, the propulsion unit 110, or solar sail vanes to compensate for gravitational or radiation pressure variations at the L 1 region. The assembly robots are configured for tile transport, placement, and interconnection and are equipped with multi axis manipulators, adaptive grippers, or electroadhesive pads that enable precise handling of tiles of varied geometry and composition.

[0073] Each robotic unit includes sensors 105, thrusters 106, and communication modules within network 116 to enable accurate positioning, real time monitoring, and synchronized coordination with the Earth based control center 118 and the user interfacing unit 120. The control center 118 may include a user interfacing unit 120 configured to enable the authorized user to view / monitor the grid structure 112 performance. The communication network facilitates autonomous decision making, continuous telemetry exchange, and adaptive configuration of the filtering subsystem in response to environmental and operational conditions.

[0074] In an exemplary embodiment of the present disclosure, the system may include multiple tiles 114 that form the primary optical filtering layer of the infrared radiation filtering subsystem 102. The tiles 114 may collectively be configured to attenuate a controlled fraction of infrared radiation while maintaining high transmission of visible light to avoid any noticeable alteration in natural illumination on Earth. The tiles 114 may be designed to achieve selective attenuation in the range of approximately one to three percent of incident infrared radiation across near, mid, and far infrared bands.

[0075] In an exemplary embodiment of the present disclosure, the system may include two functional classes of robotic units configured to perform assembly, stabilization, and maintenance operations of the infrared radiation filtering subsystem. The first class may include stationary robots, also referred to as anchor units, which may be positioned circumferentially to define the geometric boundary and structural reference points of the grid array. The stationary robots may maintain array orientation and load distribution and may be equipped with micro-propulsion systems such as ion thrusters, cold gas thrusters, or solar sails to provide positional adjustments. Each stationary robot may further include attitude control devices such as reaction wheels, gyroscopes, or electrostatic torque systems, and may incorporate onboard sensors including sun sensors, star trackers, LiDAR, or optical beacons to enable precise station-keeping and spatial alignment.

[0076] The second class of robots may include assembly robots, also referred to as manipulator units, which may be configured to transport, position, and interconnect modular tiles during array formation and maintenance. The assembly robots may be equipped with multi -axis manipulators, robotic grippers, clamps, or electroadhesive end-effectors capable of handling tiles 114 of varied geometry and material composition. The tiles 114 may be of any geometric configuration that allows modular interconnection and uniform spatial coverage of the grid structure 112, including but not limited to hexagonal, polygonal, square, triangular, or tessellated arrangements. Such geometric versatility may enable efficient packing density, structural stability, and adaptability to various deployment scales or optical design requirements. The manipulators of the robotic units 104 may be configured to dynamically adjust their grip, alignment, or placement trajectory based on tile shape, ensuring precise interconnection and optical continuity across the array. This flexible tile configuration, coupled with the adaptive handling capabilities of the assembly robots, may provide scalability, modularity, and resilience to the space-based infrared radiation filtering subsystem 102. Each assembly robot may include propulsion and navigation subsystems enabling controlled movement between staging or docking orbits and active assembly locations. The assembly robots may be reusable or configured for single-use deployment depending on mission requirements and system scalability.

[0077] Both classes of robotic units may operate cooperatively under a distributed swarm control architecture, enabling decentralized decision-making, autonomous fault detection and correction, and adaptive task allocation. The robotic units may continuously monitor the gridstructure 112 to detect positional deviations, optical misalignments, or mechanical irregularities, and may perform real-time corrective actions to maintain operational precision and efficiency of the space -based infrared radiation filtering subsystem.

[0078] In an exemplary embodiments of the present disclosure, the infrared radiation filtering subsystem 102 may include a communication module configured to manage data exchange and command transmission between the space-based system and the ground-based control infrastructure. The communication module may facilitate bidirectional communication between the onboard control and data processing unit, the power management unit, the robotic units, and the user interfacing unit located on Earth. The communication module may employ one or more transmission modes such as radio frequency, optical laser, hybrid links, quantumbased channels, and may include redundancy, encryption, and data integrity measures to ensure reliable and secure communication across the network 116. The communication module may thus serve as an interface for telemetry, command, and control data, enabling continuous coordination between the space-based infrared radiation filtering subsystem and the ground- based Control center 118.

[0079] The grid structure 112 is modular and reconfigurable, allowing incremental expansion, partial configuration, and optical recalibration. Attachment between adjacent tiles may be achieved through reversible interconnection mechanisms such as magnetic coupling, electrostatic adhesion, mechanical interlocking, robotic clamping, or hybrid combinations. This modular design enables easy replacement or realignment of individual tiles without disturbing the surrounding array, ensuring continuous operation, adaptability, and long term maintainability.

[0080] The system operates in conjunction with embedded sensors and control units integrated within the tiles and robotic platforms. These sensors monitor solar flux, infrared radiation levels, structural alignment, and thermal variations, transmitting real time data to the control center for analysis. Based on this data, artificial intelligence based control algorithms dynamically adjust the orientation, tension, and filtering efficiency of the grid to maintain optimal infrared attenuation while preserving visible light transmission.

[0081] By reducing the incident infrared radiation flux reaching Earth by approximately one to three percent (1 to 3%), the infrared radiation filtering subsystem contributes to stabilizingglobal temperatures, reducing the rate of polar ice melt, moderating extreme weather events, and enhancing overall climate resilience. The disclosed system is non invasive, scalable, and reversible, providing a sustainable method of planetary climate control without chemical intervention or atmospheric modification.

[0082] In an exemplary embodiment of the present disclosure, the system may be functionally defined as a space-based system for attenuating solar infrared radiation while maintaining visible light transmission to regulate planetary or environmental temperature. The system may achieve this functional objective through coordinated optical modulation, autonomous robotic assembly, and adaptive control, without being limited to any particular geometric configuration, material composition, or assembly mechanism. The invention may therefore encompass any configuration that performs the essential function of selectively reducing infrared radiation flux incident on a planetary body or space habitat while preserving optical transparency and natural illumination.

[0083] The system may include an arrangement of optically selective tiles, robotic units, and control subsystems that collectively perform the functions of infrared attenuation, optical alignment, stabilization, and real-time calibration. The specific shape, structure, or attachment method of the tiles may vary according to design requirements or material availability, provided that the functional objective of controlled radiative filtering is achieved. Similarly, the robotic units may vary in design, size, or configuration, but may collectively perform the operational functions of deployment, alignment, maintenance, and system scalability.

[0084] By defining the invention through its function rather than its exact structural form, the present disclosure may extend to future variations employing alternative materials, geometric patterns, or autonomous systems that achieve equivalent thermal regulation effects through selective infrared attenuation and visible light transmission. This functional definition ensures broad adaptability, technological continuity, and future-proof applicability of the invention across evolving photonic and robotic platforms.

[0085] Referring to FIG. IB illustrating the spatial configuration and deployment of the infrared radiation filtering subsystem 102 at or near the Earth- Sun Lagrange Point 1. The figure shows the relative positions of the Sun, Earth, and the five Lagrange points LI through L5, with LI serving as a stable solar facing region suitable for continuous operation. The gridstructure 112 is assembled and stabilized within this region by a coordinated network of robotic units 104. The stationary robotic anchors are positioned evenly around the grid circumference to maintain geometric stability, while the assembly robots interconnect tiles inward toward the center, forming a contiguous or semi contiguous honeycomb configuration.

[0086] During deployment, stationary robots first establish a circumferential framework defining the target coverage area at LI . Assembly robots then sequentially attach tiles in radial or spiral patterns until the desired optical density and coverage are achieved. The configuration may allow adaptive expansion, partial formation, or reconfiguration of the grid structure 112 in response to climatic modeling requirements or orbital constraints. Once assembled, the grid structure 112 may maintain alignment with the Sun-Earth vector, selectively filtering infrared radiation while transmitting visible light to preserve natural illumination. To ensure continuous precision and stability in space, the system may incorporate active stabilization mechanisms configured to maintain accurate positioning of the infrared radiation filtering subsystem 102 relative to the Sun-Earth axis. These stabilization mechanisms may include micro-propulsion units integrated within the robotic units 104 and stationary components to provide translational adjustments for positional correction. Rotational alignment may be achieved through reaction wheels, control moment gyroscopes, or electrostatic actuators configured to maintain angular stability and prevent orientation drift. In certain embodiments, solar sail surfaces or reflective vanes may be utilized to harness solar radiation pressure for passive station-keeping or fine attitude adjustments without significant energy expenditure. Stabilization algorithms may operate continuously to compensate for solar radiation pressure, gravitational perturbations, or micrometeoroid impacts, thereby ensuring that the grid structure 112 maintains its intended infrared filtering effectiveness and optical neutrality as viewed from Earth. The combination of active and passive stabilization control may provide high-precision alignment, structural resilience, and long-term reliability for the space-based infrared radiation filtering subsystem.

[0087] Communication links between the robotic network at LI and the Earth based control center support continuous health monitoring, calibration, and dynamic control based on real time climate data. The configuration shown in FIG. IB demonstrates the operation of the robotic space based infrared radiation filtering system as an autonomous solar radiation management network that manages infrared flux to balance Earth’s radiative energy input and achieve large scale temperature regulation.

[0088] According to the exemplary embodiment of the present disclosure, assembling of robots. These versatile robots handle both the initial construction and ongoing maintenance of the grid. During the assembly phase, they transport folded, stacked hexagonal tiles from various sources, such as Earth, the International Space Station (ISS), or a storage depot positioned in space. Using robotic arms, gripping mechanisms, and advanced propulsion systems, they deploy the tiles onto the frame, unfolding and locking them into place. After assembly is complete, these robots transition to patrol functions, where they monitor the structural integrity of the grid. Equipped with robotic vision systems, thermal cameras, and micro-meteoroid detection sensors, they detect any damage, wear, or misalignment. When issues are identified, the assembly robots can autonomously perform repairs or realign sections as needed to maintain optimal performance, ensuring the grid’s long-term functionality and stability.

[0089] In an exemplary embodiment of the present disclosure, the system may include a robotic architecture includes one or more robotic units configured to autonomously perform multiple operational functions within the infrared radiation filtering subsystem 102. The robotic units may collectively maintain boundary positions, transport and position tiles 114, align the grid structure 112, and perform inspection, replacement, and maintenance of individual tiles or sections of the array. The robotic units may operate cooperatively to construct, stabilize, and reconfigure the grid in response to positional drift, environmental conditions, or system control inputs.

[0090] In certain embodiments, the robotic architecture may include distinct functional classes of robots such as stationary robots configured to maintain circumferential or boundary positions for structural stability, and assembly robots configured for tile transport, placement, and interconnection. However, the present disclosure is not limited to these specific categories, and a single multifunction robotic unit or hybrid configuration may perform both boundary maintenance and assembly tasks as required.

[0091] Each robotic unit may include propulsion and attitude control systems, manipulation mechanisms, and communication interfaces enabling cooperative operation and real-time coordination through the onboard control and data processing unit. The robotic units may operate under a distributed or swarm-based control framework that allows autonomous fault correction, decentralized task allocation, and adaptive synchronization to maintain precise grid formation and optical alignment throughout the infrared radiation filtering subsystem 102.

[0092] Referring to FIG. IB, an example diagram 100b depicts an environment of the infrared radiation filtering subsystem strategically located at Lagrange Point 1 ( I), in accordance with one or more exemplary embodiments.

[0093] The diagram 100b includes the infrared radiation filtering subsystem 102, the sun 107, and the earth 109. The infrared radiation filtering subsystem 102 includes the multiple robotic units 104 (as shown in figure. 1A) are arranged in a constellation and positioned at the circumference of a grid structure 106 situated at the Lagrange Point 1 (LI) between Earth 109 and the Sun 107, a unique point LI in space where gravitational forces between the Earth 109 and the Sun 107 are in equilibrium, the subsystem 104 maintains a stable position with minimal energy expenditure. The grid structure 106 may be composed of interconnected hexagonal tiles 108 that serve as a barrier to selectively filter solar infrared radiation. The hexagonal tiles 114 may be transparent. The grid structure 114, aligned to continuously face the Sun, intercepts a portion of the IR radiation emitted by the Sun before it reaches the Earth’s atmosphere.

[0094] In an exemplary embodiment of the present disclosure, the process of deploying the space-based infrared radiation filtering system 100a may involve multiple preparatory and launch stages, commencing with the fabrication, integration, and orbital readiness of all subsystems constituting the climate-control assembly. The system may include a plurality of modular optical filtering tiles 114, autonomous robotic units 104 (comprising stationary and assembly variants), and associated power, communication, and control components required for structural deployment, station-keeping, and data transmission. The integrated assembly may be configured as a unified payload or as a series of modular sub-payloads to facilitate progressive, scalable deployment into space.

[0095] The first phase of deployment may involve launching the robotic units 104, optical tiles 114, and grid structural components into space using heavy -lift or reusable orbital launch vehicles configured to transport large payload masses. Such vehicles may include, but are not limited to, next-generation super-heavy launch systems such as SpaceX’s Starship, Blue Origin’s New Glenn, or NASA’s Space Launch System (SLS), which are capable of delivering large and modular payloads into Low Earth Orbit (LEO). Multiple launches may be conducted as required to deliver all subsystems, including robotic units, filtering tiles, and auxiliary support modules, for subsequent in-orbit assembly and transfer to the operational region.

[0096] The filtering tiles 114 may be pre-fabricated using optically functional materials configured to selectively attenuate a controlled fraction, typically between about one to three percent, of the Sun’s infrared radiation while maintaining near-complete transmission of visible and ultraviolet wavelengths. The exact attenuation level may vary depending on climate response models, tile density, or system configuration. The materials and fabrication methods may include, but are not limited to, multilayer thin-film stacks, plasmonic or photonic lattice structures, metamaterial membranes, nanocomposite coatings, or graphene -based dielectric meshes. The tiles may be formed on transparent substrates or flexible support membranes to achieve lightweight, durable, and radiation-resistant properties suitable for prolonged operation in space. Each tile may further include active or passive spectral control mechanisms, such as electrochromic or thermochromic layers, liquid-crystal films, piezoelectric actuators, or field- responsive nanoparticles, enabling dynamic modulation of transmission properties in response to solar intensity, orbital conditions, or commands from an onboard or Earth-based control system. In certain embodiments, a subset of tiles may include embedded sensors configured to monitor parameters such as incident radiation, temperature, or micrometeoroid impacts, contributing to an adaptive feedback control loop for real-time calibration of array performance.

[0097] The robotic units 104 may include two or more functional categories. Stationary or anchor robots may be configured to maintain reference points, geometric boundaries, and network stability of the filtering array, while assembly or manipulator robots may be configured for transportation, alignment, coupling, or replacement of individual tiles 114 or structural components. Each robotic unit may include micro-propulsion systems such as ion thrusters, cold gas thrusters, reaction wheels, solar sail vanes, or magnetic field-based maneuvering mechanisms to enable controlled locomotion and positioning in microgravity environments. Propulsion selection may vary depending on mission scale, available power, or orbital location. The robots may further include attitude determination and control systems incorporating star trackers, gyroscopes, sun sensors, or LiDAR units for high-precision alignment and stationkeeping. Power for the robotic systems may be supplied by integrated solar panels, solid-state batteries, or wireless energy-beaming systems, with redundant power management to ensure continuous operation. Communication between the robots, tiles, and ground-based command centers may occur through radio-frequency, optical laser, or quantum communication channels,optionally incorporating encrypted or fault-tolerant protocols to ensure reliable command exchange and data integrity.

[0098] Prior to launch, all payload components may undergo integration, validation, and encapsulation within a compatible launch vehicle fairing. The modular system design may permit multiple deployment strategies, including single-launch integrated systems, sequential modular launches where subsystems autonomously rendezvous and dock in orbit, or distributed deployment via reusable launch vehicles or orbital transfer stages. The initial phase of launch may involve insertion of the payload into Low Earth Orbit (LEO), where functional verification, optical calibration, robotic coordination, and communication handshake procedures may be executed. During this stage, mechanical, thermal, and radiation performance of the components may be validated prior to transfer to an intermediate or final operational orbit.

[0099] Upon successful validation, the system may autonomously navigate or be guided to an operationally favorable region, such as the Earth- Sun Lagrange Point LI, or any gravitationally semi-stable location providing consistent solar incidence geometry. The transfer may employ gravity-assist trajectories, electric propulsion spirals, or conventional transfer bums, executed autonomously or under remote supervision from an Earth-based control station. During orbital transfer and positioning, real-time telemetry, structural load assessment, and thermal condition monitoring may be continuously maintained through redundant communication relays and distributed fault-tolerant algorithms. These systems may ensure operational integrity and enable autonomous continuation of mission functions under partial communication blackout or subsystem isolation.

[0100] In certain embodiments, preliminary pilot arrays or scaled-down configurations may be launched and deployed in Low Earth Orbit or cislunar space as demonstration missions to validate optical properties, robotic assembly procedures, and feedback control mechanisms. Such pilot missions may serve as proof-of-concept operations to establish performance benchmarks and optimize parameters prior to full-scale deployment of the infrared radiation filtering subsystem 102 at its intended operational position.

[0101] In an exemplary embodiment of the present disclosure, Step 2 involves transferring the system components from Low Earth Orbit (LEO) to the designated deploymentlocation, preferably near the Earth-Sun Lagrange Point LI, or any equivalent gravitationally semi-stable region suitable for sustained solar alignment and minimal orbital drift. This stage marks the initiation of the deep-space staging sequence, wherein the payload transitions from geocentric to heliocentric dynamics while maintaining coordinated formation integrity among all subsystems.

[0102] The transfer trajectory may be executed through one or more propulsion methodologies compatible with extended-duration spaceflight. Suitable propulsion systems may include, but are not limited to, chemical propulsion stages, electric or ion thrusters, Halleffect engines, plasma or electromagnetic drives, solar-sail-based propulsion, or hybrid combinations thereof. The propulsion method may be selected and optimized based on mission energy requirements, available launch mass, or transfer duration constraints. During transit, the onboard guidance, navigation, and control (GNC) subsystems may continuously determine and correct the position, velocity, and attitude of all components relative to solar, stellar, or inertial reference beacons. Navigation data may be derived through autonomous celestial triangulation, inter-robot ranging, and real-time telemetry synchronization with ground-based mission control. The system may employ Kalman-filter-based algorithms or equivalent predictive control models to compensate for solar radiation pressure, gravitational perturbations, and minor propellant drift throughout the transfer path.

[0103] To maintain structural and formation integrity, the robotic units 104 including both stationary (anchor) and assembly (manipulator) variants may preserve their relative positions through inter-unit communication networks. These networks may utilize radiofrequency links, optical laser transceivers, or other high-bandwidth, low-latency systems, enabling cooperative swarm dynamics in which each robot autonomously adapts its trajectory while maintaining the global geometric configuration of the payload cluster. This distributed coordination ensures that the collective center of mass and orientation of the formation remain within acceptable deviation limits from the planned transfer corridor.

[0104] During the interplanetary cruise phase, individual robotic units may enter a low- power or semi-dormant operational state to conserve energy while maintaining essential functions such as temperature regulation, telemetry relay, and radiation protection. The optical filtering tiles 114 may remain stowed within protective casings or magnetic enclosures to prevent micrometeoroid damage or contamination. Continuous diagnostic routines may verifythermal stability, solar exposure, and mechanical coherence of the payload structure during transit. In certain embodiments, autonomous mid-course corrections may be executed by designated leader units, which calculate trajectory deviations and broadcast corrective instructions to the remaining units via the communication network. Alternatively, the system may employ distributed consensus algorithms, allowing each robot to perform incremental positional adjustments, thereby preserving global formation equilibrium.

[0105] As the payload cluster approaches the target LI region, approximately 1.5 million kilometers from Earth — the onboard guidance systems may initiate precision alignment protocols. These may include differential thruster firings, reaction-wheel modulation, or attitude reorientation maneuvers to synchronize the solar incidence angle across all subsystems. The objective of this phase is to ensure that each robotic unit and modular component arrives within a pre-defined spatial envelope, optimally positioned for subsequent assembly and grid deployment. Upon entry into the designated LI operational corridor, the stationary robots may transition into station-keeping mode, using micro-propulsion units, reaction wheels, or solar sail vanes to counteract gravitational imbalance and radiation pressure, thereby establishing the initial geometric framework for the grid structure 112.

[0106] In optional embodiments, the transfer phase may include waypoint staging at intermediate orbits, such as Geostationary Transfer Orbit (GTO), Earth-Moon Lagrange points, or halo orbits. These intermediate positions may allow inspection, refueling, or incremental deployment prior to full-scale operations, enhancing mission reliability and enabling subsystem-level validation. Upon achieving final positioning near LI or an equivalent stable region, the system establishes a localized inertial reference frame through the onboard control and data processing unit. This reference frame serves as the foundation for the array assembly and alignment operations described in subsequent deployment steps.

[0107] In an exemplary embodiment of the present disclosure, Step 3 involves autonomous assembly and formation of the infrared radiation filtering grid structure 112 following stabilization of the system 100a at or near the designated deployment corridor, preferably in the vicinity of the Earth-Sun Lagrange Point LI . The objective of this phase is to construct a large-area, modular, and optically selective array of filtering tiles 114 supported and maintained by a coordinated network of autonomous robotic units 104.

[0108] The assembly process may be executed primarily by two cooperative classes of robotic units: stationary robots 502 (As shown in FIG.5A, FIG.5B) and assembly robots 504 (As shown in FIG.5A, FIG.5B). The stationary robots 502(As shown in FIG.5A, FIG.5B) may act as anchoring and positional reference points, forming a circumferential boundary that defines the outer perimeter of the grid structure 112. These stationary units may utilize micropropulsion, gyroscopic stabilization, or electromagnetic anchoring mechanisms to maintain relative positioning and counteract micro-drift caused by solar radiation pressure, gravitational gradients, or electromagnetic interactions. Each stationary robot 502 may establish localized coordinate reference nodes through optical, laser, or radio triangulation systems, collectively generating a spatial coordinate mesh that defines the construction framework for the assembly robots 504. This distributed spatial grid enables dynamic positional recalibration and provides geometric precision for large-scale construction within a microgravity environment.

[0109] The assembly robots 504 may be configured to carry, position, and interconnect stacks of filtering tiles 114, which may be hexagonal, polygonal, or otherwise tessellated in geometry. Each assembly robot may include precision manipulators, articulated robotic arms, or deployable clamping mechanisms capable of grasping, orienting, and interlocking tiles in free space. Actuation systems may include electromagnetic grippers, electroadhesive pads, vacuum-assisted couplers, or shape-memory alloy actuators, enabling controlled manipulation of tiles of varying size, mass, or composition. The robotic units may operate sequentially or cooperatively in batches to construct the array in a coordinated pattern determined by an onboard control and data processing unit.

[0110] Assembly operations may begin with alignment of the initial tile layer along the circumferential reference line defined by the stationary robots 502. The robots may employ optical beacons, photometric feedback, or interferometric distance sensors to achieve alignment within sub-millimeter or nanometer tolerances. As each tile is positioned, it may be secured in place using magnetic coupling, electrostatic adhesion, mechanical snap-fit joints, robotic clamps, or hybrid attachment mechanisms. The selection of attachment mode may be adaptive, automatically determined based on real-time environmental, mechanical, or optical parameters to ensure maximum structural stability and optical continuity.

[0111] As the assembly progresses inward from the circumferential boundary, subsequent layers of tiles 114 may be interconnected in a honeycomb or equivalent tessellatedconfiguration. This geometry provides enhanced structural resilience, mechanical flexibility, and uniform optical performance, ensuring consistent infrared filtering efficiency across the grid structure 112. Embedded micro-sensors within the tiles may continuously monitor solar flux uniformity, temperature gradients, and mechanical stress, transmitting diagnostic data to the onboard control and data processing unit for adaptive calibration of array performance.

[0112] The robotic units 104 may communicate through a decentralized mesh network, enabling swarm-based coordination wherein each robot maintains partial autonomy while operating within an emergent, consensus-driven framework. Machine learning algorithms or predictive spatial mapping models may be employed to optimize assembly sequences, reduce overall assembly time, and dynamically adjust for disturbances such as micrometeoroid impacts or fluctuations in solar radiation. To ensure continuous precision and redundancy, selected assembly robots may function as inspection or calibration units, equipped to scan completed grid sections for micro-misalignments, defective tiles, or alignment deviations. Upon detecting a discrepancy, these robots may autonomously replace, rotate, or realign tiles, ensuring uniform optical and mechanical performance without human intervention.

[0113] As the array expands, the partially assembled grid structure 112 may begin to act as its own stabilizing reference system. Newly attached tiles distribute radiation pressure forces across the membrane-like structure, allowing the array to operate as a self-balancing optical surface. The distributed robotic network may dynamically adjust tile tension, spacing, or orientation to maintain a constant angular alignment relative to the Sun-Earth vector.

[0114] This phase may conclude when the grid reaches an operationally sufficient surface area to achieve measurable infrared attenuation, typically corresponding to a collective filtering efficiency of approximately one to three percent of the Sun’s incident infrared radiation at the Earth’s atmosphere. Upon achieving this configuration, the system 100a may transition into the next operational stage, involving active calibration, optical verification, and steady-state stabilization routines executed autonomously to sustain consistent infrared modulation and visible-light transparency.

[0115] In an exemplary embodiment of the present disclosure, Step 4 involves the active calibration and continuous maintenance of the infrared radiation filtering subsystem 102 following the completion of the assembly phase and attainment of a functional gridconfiguration at or near the Earth- Sun Lagrange Point LI. This operational phase ensures sustained optical efficiency, structural integrity, and precise positional stability of the system 100a over extended mission durations.

[0116] The system may function as an autonomous, self-regulating network in which distributed robotic units 104 and embedded sensors collectively monitor environmental, mechanical, and optical parameters in real time. Each optical filtering tile 114 may include or be coupled with sensors configured to measure solar flux, spectral transmittance, angular alignment, micro-vibration, and thermal gradients. Data gathered from these sensors may be transmitted through the communication module 124 to the onboard control and data processing unit or to a distributed control node, which may execute analytical algorithms to detect deviations from nominal filtering performance and mechanical equilibrium.

[0117] Calibration of the array may be achieved through micro-adjustments of tile orientation, position, or refractive properties. Both stationary and assembly robots may include fine-tuning subsystems — such as micro-thrusters, reaction wheels, electrostatic actuators, or piezoelectric positioning arrays — that facilitate real-time correction of perturbations caused by solar radiation pressure, gravitational imbalance, or external disturbances. These autonomous adjustments maintain uniform angular orientation of the grid structure 112 relative to the Sun- Earth vector, ensuring consistent infrared attenuation while preserving optical transparency in the visible spectrum.

[0118] In certain embodiments, the system may employ adaptive optical modulation, wherein the infrared transmittance of the filtering tiles 114 may be dynamically altered based on operational or climatic requirements. The modulation may be achieved using electrically or magnetically responsive materials, variable -thickness coatings, tunable photonic lattices, or nanoscale plasma films capable of adjusting spectral filtering properties under applied control signals. This feature allows the system to fine-tune its global infrared attenuation ratio within a range of approximately one to three percent, or as necessary to maintain climate equilibrium based on seasonal or orbital variations.

[0119] Maintenance operations may be conducted autonomously and continuously throughout the operational lifespan of the system. The assembly robots 504, when not engaged in construction activities, may be reconfigured as maintenance units responsible for inspection,repair, and replacement of individual tiles or modules. The system may employ multi-spectral scanning, interferometric sensing, and thermal imaging techniques to identify degradation, contamination, or misalignment within the array. Upon detection, defective tiles may be selectively detached and replaced without requiring disassembly of adjacent modules, thereby ensuring uninterrupted optical operation.

[0120] To enhance operational redundancy, the robotic fleet may operate under a hierarchical maintenance protocol. Primary maintenance robots may continuously patrol the grid for anomalies, while supervisory units manage diagnostic coordination, energy distribution, and trajectory correction. Power for these operations may be supplied by the power management unit 122 via integrated photovoltaic arrays, wireless energy transfer, or radiative energy harvesting subsystems, enabling indefinite operation with minimal external input.

[0121] The system may further include fail-safe redundancy mechanisms to preserve overall functionality under fault conditions. In the event that a portion of the grid becomes non- operational, adjacent tiles or sub-arrays may dynamically adjust their orientation or filtering parameters to compensate for local deficiencies, maintaining a uniform infrared attenuation profile across the functional surface. The robotic control network may employ decentralized swarm-intelligence algorithms, allowing each robotic unit to maintain situational awareness and synchronize with neighboring robots. This distributed coordination enables adaptive reconfiguration, local decision-making, and real-time correction of drift, deformation, or uneven radiation loading.

[0122] The stability of the entire structure may be maintained through a closed-loop feedback system incorporating continuous telemetry from radiation sensors, spectrometers, positional beacons, and thermal detectors. The onboard control and data processing unit may execute predictive maintenance algorithms, analyzing sensor data to anticipate component degradation and initiate corrective actions before performance loss occurs. Periodic recalibration routines may further ensure that the grid remains precisely aligned and spectrally tuned, maintaining visible transparency while delivering controlled infrared attenuation.

[0123] Through the integration of continuous environmental monitoring, autonomous corrective actions, and modular replacement capabilities, the disclosed system achieves sustained, long-duration operational stability without the need for direct human intervention.This self-maintaining, adaptive architecture enables reliable climate regulation, consistent reduction in incident infrared radiation, and reversible control of planetary temperature, providing a scalable, non-intrusive, and energy-efficient approach to global thermal management.

[0124] In an exemplary embodiment of the present disclosure, Step 5 addresses system scalability and future expansion of the infrared radiation filtering subsystem 102 following completion of the initial deployment, calibration, and maintenance phases. The disclosed system 100a is inherently modular and extensible, permitting incremental augmentation of its operational coverage area, infrared attenuation capacity, and overall functional adaptability.

[0125] The modular architecture of the system 100a enables the addition of new filtering tiles 114, robotic units 104, and structural components through subsequent launches, autonomous assembly, or in-situ integration of pre-positioned modules. Expansion may occur radially, circumferentially, or in multi-tiered and layered configurations, allowing both horizontal and vertical scaling. Each newly introduced module may include interoperable coupling interfaces compatible with existing array components, enabling precise mechanical and optical alignment. The attachment mechanisms may include magnetic, electrostatic, mechanical, hybrid, or adaptive coupling systems, optionally operated by robotic manipulators equipped with alignment and calibration subsystems. This design allows the array to undergo partial replacement, reorientation, or incremental densification, thereby facilitating dynamic adjustment of global infrared attenuation ratios to meet evolving climatic and environmental requirements.

[0126] The robotic network itself may be expanded in tandem with the physical structure. Additional stationary robots 502 or assembly robots 504 may be deployed to support increased operational demands, enhance assembly throughput, and maintain positional stability over larger array formations. Newly introduced robotic units may autonomously integrate into the pre-existing communication network 116 and control architecture governed by the onboard control and data processing unit. Using swarm-coordination algorithms, distributed decisionmaking protocols, and cooperative task allocation strategies, the expanded robotic fleet may achieve seamless interoperability without interruption to ongoing operations or calibration routines.

[0127] In certain embodiments, the scalable architecture may support the creation of multi-layered or tiered grid configurations, wherein multiple filtering arrays are positioned at slightly offset solar incidence vectors. These layered formations may enable refined spectral control, enhanced attenuation efficiency, and redundancy against localized optical or mechanical anomalies. Multi-tier configurations may be adapted to fulfill specialized mission objectives such as targeted regional thermal regulation, solar flux modulation, or experimental climate engineering.

[0128] The disclosed architecture further supports extraterrestrial and off-world adaptation. The same principles of robotic assembly, modular coupling, and autonomous maintenance may be applied to construct radiation management grids, habitat shielding systems, or thermal regulation structures on planetary bodies such as the Moon, Mars, or other celestial environments requiring solar flux management. These implementations may facilitate terraforming assistance, greenhouse stabilization, or solar energy optimization for extraterrestrial colonies.

[0129] According to an exemplary embodiment of the present disclosure, the system provides a novel approach to mitigating global warming by reducing the amount of infrared (IR) radiation reaching Earth's surface. By placing a grid of transparent hexagonal tiles at Lagrange Point 1 (LI), the system selectively filters out 1-3% of incoming IR radiation without obstructing visible light, thereby achieving a measurable reduction in global temperature rise. The primary result of the invention is a decrease in the energy influx to Earth, leading to a reduction in the rate of global temperature rise. The system’s attenuation of 2% of IR radiation helps lower the heat absorbed by the Earth's atmosphere and surface, thus slowing down the warming effects caused by greenhouse gases. Based on simulations and modeling, even a small reduction in incoming solar energy can have a significant impact on climate change. The reduction in temperature increase could be in the range of 1 to 1.5 degree Celsius over several decades, providing a valuable buffer while other climate mitigation strategies, such as emission reductions, are implemented. By moderating the amount of IR radiation that reaches Earth, the invention may help stabilize weather patterns that have been disrupted by climate change. This could result in fewer extreme weather events, such as heatwaves, droughts, and storms, which are exacerbated by rising global temperatures. Since the hexagonal tiles selectively block only a small fraction of IR radiation while allowing visible light to pass through, there is no significant impact on photosynthesis. This ensures that ecosystems and agriculture continue toreceive the sunlight necessary for growth. Solar energy generation remains unaffected because the system does not block the visible spectrum, allowing solar panels to continue operating at full efficiency. The system can operate continuously at LI, providing a constant level of IR attenuation without seasonal variations. Additionally, it can be adapted to changing conditions by adjusting the grid configuration or adding more tiles over time. The robotic constellation ensures that the system can be maintained and repaired as needed, offering long-term operational stability. If any tiles or robots are damaged, the system can be repaired in space without requiring replacements from Earth, which is a significant advantage over one-time interventions. The use of autonomous robots for assembly, maintenance, and optimization ensures ongoing adaptability and the potential for future upgrades to the grid. Placing the grid at LI allows for maximum solar radiation interception, providing a uniform effect on Earth's incoming solar energy. The grid’s stable position at LI ensures that it remains effective without requiring frequent repositioning, which would be necessary for systems placed in low Earth orbit. Unlike carbon capture and storage (CCS), which involves storing captured CO2 in geological formations or converting it into other products, this invention does not involve handling hazardous materials or creating long-term storage risks. It also avoids the energy- intensive processes associated with CCS. The system does not rely on large-scale land use or natural resources for deployment, making it less invasive than methods that require vast areas of land and water resources. While emission reduction efforts are essential, they often take years to show a measurable impact on atmospheric greenhouse gas levels. The system offers a more immediate solution by directly influencing the Earth's energy budget, complementing long-term emission reduction strategies.

[0130] According to an exemplary embodiment of the present disclosure, the structural design and configuration of the innovative large-scale structure positioned at Lagrange Point 1 (LI), between Earth and the Sun, features a diameter of 14,000 kilometers and a grid of transparent hexagonal tiles. This represents a novel approach to solar radiation management. The structural layout and configuration of the hexagonal grid selectively filter 1-3% of infrared radiation without impacting visible light transmission, constituting a unique feature of the invention. The material composition and properties of the tiles play a central role in this invention. The specific use of either transparent glass tiles coated with an IR-filtering material or hexagonally cut nanofibers that block infrared radiation while allowing visible light to pass through is critical. Protection should encompass the composition of the materials, the coating techniques used to achieve selective IR filtering, and the fabrication methods for the nanofibertiles to ensure transparency and effective thermal management. The robotic constellation and deployment mechanism also require protection. This aspect involves the specific functionalities of the robots, their control algorithms, and the coordination techniques used to maintain the grid's alignment and orientation in varying orbital conditions. The precision solar radiation management technique employed to attenuate 2% of the incoming infrared radiation at LI, while ensuring that no shadow or eclipse is cast on Earth, represents a novel approach to managing solar energy influx. The technique for achieving this balance, including the positioning, material properties, and arrangement of the tiles, constitutes a unique solution for climate intervention. Finally, the overall system integration and operation merit protection. This includes the integration of all components into a coherent system capable of large-scale solar radiation management, as well as the methods for monitoring, control, and real-time adjustments made by the robotic constellation to maintain the structure's efficacy under different orbital and environmental conditions.

[0131] In an exemplary embodiment of the present disclosure, the system may be deployable in any gravitationally semi-stable or operationally favorable region between a star and a planetary body, or within a low-gravity orbital environment, to achieve continuous solar incidence control. The deployment region may include, but is not limited to, the Earth-Sun Lagrange Point LI, L2, or equivalent orbital locations where stable alignment and continuous solar exposure may be maintained. The deployment strategy may be configured to ensure optimal orientation of the infrared radiation filtering subsystem 102 along the Sun-planet vector, enabling effective attenuation of infrared radiation while permitting visible light transmission. The deployment process may include the sequential transport, alignment, and assembly of tiles 114 and grid structures 112 by robotic units 104 operating under autonomous control. The robotic units may coordinate to interconnect modular tiles, establish geometric stability, and verify optical alignment through sensor feedback and control algorithms. Once deployed, the system may operate autonomously, with the robotic units performing continuous monitoring, calibration, and adjustment to maintain optical and positional precision.

[0132] In certain embodiments, the system may include autonomous maintenance and self-repair capabilities that enable detection, removal, and replacement of damaged or degraded tiles without human intervention. Replacement tiles may be carried by the robotic units or stored within dedicated compartments for later use. The modular configuration of the grid maypermit localized repairs, partial disassembly, or scaling by incremental addition of tiles to expand the optical area and adjust the degree of infrared attenuation as required.

[0133] The system architecture may thus provide scalable, reversible, and long- duration operational capability, maintaining functionality across a variety of orbital environments. Through distributed robotic coordination and adaptive control, the system may ensure sustained performance, structural resilience, and long-term maintainability while minimizing dependence on ground-based intervention.

[0134] Referring to FIG. 2 is a flowchart 200 depicting an exemplary method for deployment and assembly of robotic space-based infrared radiation filtering subsystem, in accordance with one or more exemplary embodiments. As an option, the method 200 is carried out in the context of the details of FIG. 1A, and FIG. IB. However, the method 200 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0135] The method commences at step 202, launching robotic units, including stabilizer robots and assembled robots, along with hexagonal tiles and structural components, into space using heavy -lift vehicles. Here heavy-left vehicles may include rockets. Thereafter, at step 204, powering up the grid structure using autonomous robotic units at Lagrange Point 1 (LI). Thereafter, at step 206, deploying the multiple Robotic units with hexagonal tiles, and structural components in low Earth orbit (LEO) for initial staging. Thereafter, at step 208, transferring the various Robotic units with hexagonal tiles, and structural components from Low Earth orbit (LEO) to Lagrange Point 1 (LI) using propulsion unit. Thereafter, at step 210, positioning stabilizer robotic units evenly around the circumference of the grid framework at Lagrange Point 1 (LI) to secure alignment and orientation. Thereafter, at step 212, performing the system checks for structural and functional integrity to verify all components are operational. Thereafter, at step 214, assembling the basic grid structure with hexagonal tiles at Lagrange Point 1 (LI) using assembly Robotic, forming a stable base. Thereafter, at step 216, attaching and deploying hexagonal tiles onto the grid framework, establishing a honeycomb configuration. Thereafter, at step 218, aligning and orienting hexagonal tiles to achieve the targeted 2% attenuation of infrared (IR) radiation. Thereafter, at step 220, allowing visible light to pass through to support solar energy generation on Earth.

[0136] In an exemplary embodiments of the present disclosure, the infrared radiation filtering subsystem 102 may include the power management unit responsible for generating, storing, and distributing electrical energy to the robotic units, sensors, and communication components. The power management unit may utilize photovoltaic arrays, solid-state batteries, or other energy sources to maintain autonomous operation at the LI region.

[0137] In an exemplary embodiment of the present disclosure, the system may be scalable and adaptable for deployment in any planetary or extraterrestrial environment requiring modulation of solar or stellar radiation for thermal regulation. The system may be configured to operate not only in the vicinity of Earth but also in other celestial orbits, lunar environments, Martian atmospheres, or low-gravity regions where control of incident radiant energy is desired. The modular and reconfigurable architecture of the infrared radiation filtering subsystem 102 may enable customized adaptation to local environmental conditions, such as varying solar intensity, atmospheric composition, or gravitational stability. The grid structure 112 and tiles 114 may be fabricated and configured to withstand different levels of radiation exposure, dust accumulation, or thermal gradients encountered in extraterrestrial environments. The robotic units 104 may perform autonomous assembly, reconfiguration, or repair under altered gravitational or atmospheric conditions, maintaining consistent optical alignment and functional integrity of the array. The same robotic and optical principles may be applied to construct protective barriers, energy management layers, or thermal regulation systems on planetary surfaces or orbital platforms.

[0138] In certain embodiments, the system may be integrated into large-scale planetary engineering or space infrastructure projects, such as orbital solar energy control, habitat shielding, or radiation management systems. The adaptive nature of the invention may thus permit application across multiple celestial environments, ensuring scalable operation, functional reliability, and controlled modulation of radiative energy in both terrestrial and nonterrestrial contexts.

[0139] Referring to FIG. 3 is a flowchart 300 depicting an exemplary method for operational management and optimization of the grid structure, in accordance with one or more exemplary embodiments. As an option, the method 300 is carried out in the context of the details of FIG. 1A, FIG. IB, and FIG.2. However, the method 300 is carried out in any desiredenvironment. Further, the aforementioned definitions are equally applied to the description below.

[0140] The method commences at step 302, measuring changing solar angles and radiation levels to ensure optimal alignment with incoming solar radiation. Thereafter, at step 304, utilizing gyroscopic unit and thrusters on the robotic units to adjust the grid’s orientation and position for stability. Thereafter, at step 306, using robotic propulsion unit to maintain the grid’s stability at Lagrange Point 1 (LI) against minor gravitational shifts or solar radiation pressure. Thereafter, at step 308, equipping robotic units with sensors to monitor solar radiation and IR levels, enabling accurate real-time data collection. Thereafter, at step 310, collecting data on Earth's temperature, solar radiation levels, and infrared radiation by autonomous Robotic units equipped with specialized sensors. Thereafter, at step 312, sending collected data to the Earth-based control center for monitoring by robotic units. Thereafter, at step 314, adjusting the grid configuration to filter the targeted amount of infrared radiation, based on real-time data. Thereafter, at step 316, adjusting the orientation of the grid and tile angles to optimize IR attenuation using autonomous robotic units. Thereafter, at step 318, continuously analyzing climate response data (temperature, ice melt rate, extreme weather occurrences) to monitor system impact. Thereafter, at step 320, updating filtering parameters autonomously based on climate feedback to adapt to changing conditions.

[0141] Referring to FIG. 4 is a flowchart 400 depicting an exemplary method for maintenance and expansion of the grid structure, in accordance with one or more exemplary embodiments. As an option, the method 400 is carried out in the context of the details of FIG. 1A, FIG. IB, FIG.2 and FIG.3. However, the method 400 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0142] The method commences at step 402, conducting regular inspections of tiles for damage or misalignment by robotic units. Here, the robotic units may be autonomous robotic units. Thereafter, at step 404, detecting malfunctions and performing repairs or replacing damaged tiles using robotic units. Thereafter, at step 406, calibrating the grid after repairs to restore optimal functionality to the grid structure. Thereafter, at step 408, scanning the grid for performance degradation or damages using robotic units. Thereafter, at step 410, reporting system health status to the Earth-based control center for ongoing oversight. Thereafter, at step412, utilizing robotic units to assist in repairing malfunctioning units or replacing damaged parts when necessary. Thereafter, at step 414, identifying additional regions within the grid that may require enhanced IR filtering and adjusting the grid configuration accordingly. Thereafter, at step 416, launching new grid components into space if expansion or replacement is needed to maintain the system. Thereafter, at step 418, deploying additional autonomous robotic units to integrate new tiles into the existing grid structure as required. Thereafter, at step 420, gathering data on solar radiation, grid stability, and environmental conditions to inform adjustments and updates. Thereafter, at step 422, analyzing emerging space-based technologies for potential upgrades, such as improved IR-filtering materials or advanced Al-driven systems. Thereafter, at step 424, implementing updates or new configurations via Robotic units without requiring re-launch, enhancing operational flexibility and system longevity. Thereafter, at step 426, expanding the grid by adding more tiles or reconfiguring based on data analysis, ensuring the system’s continued effectiveness.

[0143] Referring to FIG. 5A, an exemplary schematic representation of a positional configuration of stationary robots arranged circumferentially at or near the Earth- Sun Lagrange Point LI is illustrated, in accordance with an exemplary embodiment of the present disclosure. The diagram 500 includes stationary robots 502 that may be positioned to define the outer boundary of the infrared radiation filtering subsystem 102 (As shown in FIG.1A), forming a geometric framework for the deployment and stabilization of the grid structure 112(As shown in FIG.1A. Each stationary robot 502 may maintain its respective position through stationkeeping mechanisms that may include micro-propulsion units, reaction wheels, or solar-sail vanes configured to counteract gravitational and radiation-pressure disturbances at the LI region.

[0144] The stationary robots 502 may serve as structural anchor points that establish and preserve the alignment, orientation, and spacing of the array. These stationary robots 502 may communicate with each other and with the onboard control and data-processing unit via the communication module to maintain coordinated formation and positional accuracy. The circumferential arrangement may provide geometric stability and balanced load distribution for the grid structure 112, ensuring uniform filtering coverage of incident infrared radiation.

[0145] In certain embodiments, the stationary robots 502 may also function as docking or reference nodes for assembly robots that transport and interconnect tiles 114 toward thecenter of the grid. The distributed configuration of the stationary robots 502 may enable scalable construction, adaptive reconfiguration, and long-term stabilization of the space-based infrared radiation filtering subsystem 102 while maintaining precise alignment along the Sun- Earth vector.

[0146] Referring to FIG. 5B, an exemplary schematic representation 500 of a cooperative arrangement between stationary robots and assembly robots positioned at or near the Earth- Sun Lagrange Point LI is illustrated, in accordance with an exemplary embodiment of the present disclosure. The diagram 500 shows the stationary robots 502 arranged circumferentially to define the outer boundary of the infrared radiation filtering subsystem 102, while the assembly robots 504 are positioned between the stationary robots 502 and the central region of the array to facilitate grid construction and tile placement.

[0147] Each assembly robot 504 may be equipped with manipulation mechanisms such as multi-axis arms, grippers, or electroadhesive end-effectors configured to transport and position tiles 114(As shown in FIG.1A) with high precision. The assembly robots 504 may move along defined paths between the stationary robots 502 to interconnect the tiles 114(As shown in FIG.1 A, forming contiguous or semi -contiguous sections of the grid structure 112(As shown in FIG.1A). As illustrated, partially assembled regions of interconnected tiles demonstrate the progressive formation of the grid extending inward from the circumferential boundary toward the central optical axis.

[0148] The stationary robots 502 may provide geometric reference points and alignment feedback to the assembly robots 504, ensuring accurate positioning, optical continuity, and structural stability during deployment. Communication between the stationary robots 502 and the assembly robots 504 may occur through a coordinated control framework managed by the onboard control and data-processing unit, enabling synchronized assembly, error correction, and adaptive configuration.

[0149] The cooperative operation of the stationary robots 502 and assembly robots 504 may allow autonomous grid construction, scalable expansion, and efficient maintenance of the space-based infrared radiation filtering subsystem 102(As shown in FIG.1 A while maintaining precise alignment with the Sun-Earth vector.

[0150] Referring to FIG. 5C, an exemplary schematic representation of a substantially assembled configuration of the grid structure formed by the cooperative operation of stationary and assembly robots is illustrated, in accordance with an exemplary embodiment of the present disclosure. The diagram 500 shows a completed section of the infrared radiation filtering subsystem 102, where a plurality of tiles 114 (As shown in FIG. 1A) are interconnected to form a contiguous modular grid structure 112. The hexagonal or variably shaped tiles 114 may collectively create an optically selective filtering surface configured to attenuate infrared radiation while transmitting visible light to the planetary surface below.

[0151] The stationary robots 502 may be positioned around the periphery of the grid structure 112(As shown in FIG.1A) to maintain geometric stability, orientation, and alignment relative to the Sun-Earth vector. The assembly robots 504 may complete the interconnection of remaining tiles 114(As shown in FIG.1 A), ensuring precise optical alignment and structural continuity across the grid. Once the array reaches its intended configuration, the stationary robots 502 may assume active stabilization and positional maintenance roles, while the assembly robots 504 may transition into inspection, calibration, or maintenance operations.

[0152] The interconnected grid structure 112(As shown in FIG.1A) may represent the functional stage of deployment, where the system achieves operational readiness for selective infrared attenuation. The distributed configuration of robots may allow modular expansion, realignment, or partial disassembly as needed for adaptive operation, scalability, or maintenance. The completed configuration illustrated in FIG. 5C demonstrates the cooperative assembly and alignment process that enables the infrared radiation filtering subsystem 102 to function as a scalable, reversible, and autonomous platform for space-based thermal regulation.

[0153] Referring to FIG. 6, a flowchart illustrating an exemplary method for Al-based control, communication, and feedback architecture of the infrared radiation filtering subsystem, in accordance with an exemplary embodiment of the present disclosure. As an option, the method 600 is carried out in the context of the details of FIG. 1, FIG.2, FIG.3, and FIG.5. However, the method 600 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below. The method commences at step 602, acquiring sensor data from the modular tiles and robotic units, including radiation intensity, temperature, positional alignment, and vibrational parameters. Thereafter at step 604, transmitting the acquired sensor data to the onboard control and dataprocessing unit configured with artificial intelligence (Al) algorithms for autonomous analysis. Thereafter at step 606, analyzing the received data by the onboard Al module to detect performance deviations, operational trends, and predictive anomalies. Thereafter at step 608, determining whether the measured parameters remain within acceptable thresholds and continuing real-time monitoring when conditions are nominal. Thereafter at step 610, detecting deviations or anomalies exceeding defined limits and generating corresponding corrective control commands within the Al control logic. Thereafter at step 612, relaying the corrective commands to the robotic actuators and modular tiles through the communication module for execution. Thereafter at step 614, executing corrective actions such as orientation adjustments, tile tuning, or robotic maneuvering to restore optimal infrared filtering performance. Thereafter at step 616, logging telemetry data, corrective actions, and updated operational parameters, and transmitting summarized performance reports to the user interfacing unit. Thereafter at step 618, evaluating the transmitted reports at the ground station and updating Al control parameters, algorithms, or configuration datasets based on performance analysis. Thereafter at step 620, repeating the closed-loop process of acquiring, analyzing, correcting, and validating data to ensure continuous adaptive regulation, stability, and autonomous operation of the infrared radiation filtering subsystem.

[0154] Referring to FIG. 7, a flowchart 700 illustrating an exemplary method for active calibration and continuous maintenance of the infrared radiation filtering subsystem, in accordance with an exemplary embodiment of the present disclosure. As an option, the method 700 is carried out in the context of the details of FIG. 1, FIG.2, FIG.3, FIG.5 and FIG.6. However, the method 700 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below. The method commences at step 702, continuously monitoring the optical performance, alignment accuracy, and structural integrity of the infrared radiation filtering grid through distributed sensors integrated within the tiles and robotic units. Thereafter at step 704, evaluating the collected sensor data by the onboard Al control system to identify minor or major deviations in optical or mechanical parameters. Thereafter at step 706, determining the magnitude of deviation and performing micro-adjustments when the deviation is minor, utilizing piezoelectric actuators, reaction wheels, or micro-thrusters to restore alignment. Thereafter at step 708, reverifying the optical and structural parameters after each adjustment and resuming continuous monitoring when performance is restored to nominal conditions. Thereafter at step 710, identifying major deviations or component failures and isolating the affected tile or module from the active gridconfiguration. Thereafter at step 712, reassigning an assembly robot as a maintenance agent responsible for corrective intervention. Thereafter at step 714, detaching and replacing the faulty tile or module using robotic manipulators equipped with precision grippers or electroadhesive end-effectors. Thereafter at step 716, recalibrating the surrounding tile neighborhood and performing optical verification to ensure uniform infrared attenuation and structural stability. Thereafter at step 718, updating the predictive maintenance models within the Al control system using data derived from the maintenance event to improve future fault detection accuracy. Thereafter at step 720, resuming the continuous maintenance and monitoring cycle to ensure sustained operational efficiency, reliability, and autonomous stability of the infrared radiation filtering subsystem.

[0155] Referring to FIG. 8, a flowchart illustrating an exemplary method for scalability, modular expansion, and planetary adaptation of the infrared radiation filtering subsystem, in accordance with an exemplary embodiment of the present disclosure. As an option, the method 800 is carried out in the context of the details of FIG. 1, FIG.2, FIG.3, FIG.5, FIG.6 and FIG.7. However, the method 800 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below. The method commences at step 802, evaluating system performance metrics, operational stability, and global infrared attenuation efficiency to determine expansion requirements. Thereafter at step 804, planning the expansion topology in radial, circumferential, layered, or irregular tessellation configurations based on desired coverage and mission objectives. Thereafter at step 806, preparing additional modular tiles, robotic units, and supporting subsystems for launch or for in-situ production using pre-positioned resources. Thereafter at step 808, delivering the new modules into orbit through subsequent launches, reusable transport vehicles, or in-space transfer stages. Thereafter at step 810, autonomously integrating the newly delivered modules into the existing operational network using standardized mechanical coupling and communication protocols. Thereafter at step 812, coordinating re-alignment and system-wide recalibration through the onboard Al to ensure seamless optical and structural continuity across the expanded configuration. Thereafter at step 814, positioning secondary or multi-layered arrays along offset solar incidence vectors when multi-tier deployment is selected, and tuning the spectral characteristics for enhanced infrared control. Thereafter at step 816, adapting materials, tile spacing, and control algorithms for extraterrestrial environments such as lunar or Martian surfaces by adjusting operational parameters to local thermal and radiative conditions. Thereafter at step 818, verifying the optical and structural performance of theexpanded array and updating the global control policies within the Al and ground management units. Thereafter at step 820, repeating the modular expansion and adaptation cycles as required to meet evolving mission objectives and to maintain continuous scalability of the infrared radiation filtering subsystem.

[0156] Referring to FIG. 9, a flowchart illustrating an exemplary method for climate control and temperature regulation using robotic space-based infrared radiation filtering, in accordance with an exemplary embodiment of the present disclosure. As an option, the method 900 is carried out in the context of the details of FIG. 1, FIG.2, FIG.3, FIG.5, FIG.6, FIG.7 and FIG.8. However, the method 900 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below. The method commences at step 902, positioning an infrared radiation filtering subsystem at or near an Earth- Sun Lagrange Point (LI) or any equivalent gravitationally semi-stable region. Thereafter at step 904, assembling a modular grid structure comprising a plurality of optically selective tiles configured to attenuate a controlled fraction of solar infrared radiation while transmitting visible light substantially unaffected. Thereafter at step 906, deploying a plurality of robotic units including stationary robots and assembly robots within the infrared radiation filtering subsystem to cooperatively construct, stabilize, and maintain the grid structure. Thereafter at step 908, establishing communication within the infrared radiation filtering subsystem between the onboard control and data processing unit, the robotic units, and the communication module, and enabling bidirectional data exchange between the infrared radiation filtering subsystem and a control center that includes a user interfacing unit. Thereafter at step 910, processing and analyzing operational data using the onboard control and data processing unit configured with artificial intelligence (Al) algorithms to autonomously regulate tile orientation, optical response, and robotic positioning. Thereafter at step 912, monitoring overall system performance through the user interfacing unit of the control center, which receives telemetry and diagnostic information from the onboard control and data processing unit and facilitates supervisory input or configuration updates, thereby maintaining global temperature regulation while preserving optical transparency and ecological balance.

[0157] Referring to FIG. 10 is a block diagram 1000 illustrating the details of a digital processing system 1000 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. The Digital processing system 1000 maycorrespond to the control center (computing device) 118 (or any other system in which the various features disclosed above can be implemented).

[0158] Digital processing system 1000 may contain one or more processors such as a central processing unit (CPU) 1010, random access memory (RAM) 1020, secondary memory 1030, graphics controller 1060, display unit 1070, network interface 1080, and input interface 1090. All the components except display unit 870 may communicate with each other over communication path 1050, which may contain several buses as is well known in the relevant arts. The components of Figure 10 are described below in further detail.

[0159] CPU 1010 may execute instructions stored in RAM 1020 to provide several features of the present disclosure. CPU 1010 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 1010 may contain only a single general-purpose processing unit.

[0160] RAM 1020 may receive instructions from secondary memory 1030 using communication path 1050. RAM 1020 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 1025 and / or user programs 1026. Shared environment 1025 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 1026.

[0161] Graphics controller 1060 generates display signals (e.g., in RGB format) to display unit 1070 based on data / instructions received from CPU 1010. Display unit 1070 contains a display screen to display the images defined by the display signals. Input interface 1090 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 1080 provides connectivity to a network (e.g., using Internet Protocol), and may be used to communicate with other systems (such as those shown in Figure 1) connected to the network 116.

[0162] Secondary memory 1030 may contain hard drive 1035, flash memory 836, and removable storage drive 1037. Secondary memory 1030 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), whichenable digital processing system 1000 to provide several features in accordance with the present disclosure.

[0163] Some or all of the data and instructions may be provided on removable storage unit 1040, and the data and instructions may be read and provided by removable storage drive 1037 to CPU 1010. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 1037.

[0164] Removable storage unit 1040 may be implemented using medium and storage format compatible with removable storage drive 1037 such that removable storage drive 1037 can read the data and instructions. Thus, removable storage unit 1040 includes a computer readable (storage) medium having stored therein computer software and / or data. However, the computer (or machine, in general) readable medium can be in other forms (e.g., non-removable, random access, etc.).

[0165] In this document, the term "computer program product" is used to generally refer to removable storage unit 1040 or hard disk installed in hard drive 1035. These computer program products are means for providing software to digital processing system 1000. CPU 1010 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above.

[0166] The term “storage media / medium” as used herein refers to any non-transitory media that store data and / or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and / or volatile media. Non-volatile media includes, for example, optical disks, magnetic disks, or solid-state drives, such as storage memory 1030. Volatile media includes dynamic memory, such as RAM 1020. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid-state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge.

[0167] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. Forexample, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus (communication path) 1050. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.

[0168] In accordance with one or more exemplary embodiments of the present disclosure, the infrared radiation filtering subsystem comprises a modular framework configured to support and align the plurality of optically selective tiles in a predetermined geometric pattern for uniform infrared attenuation.

[0169] In accordance with one or more exemplary embodiments of the present disclosure, the modular framework is configured in a hexagonal, polygonal, honeycomb, or tessellated pattern to provide structural stability and optical continuity across the grid structure.

[0170] In accordance with one or more exemplary embodiments of the present disclosure, each of the optically selective tiles comprises a material selected from a group consisting of optical glass, dielectric coatings, metamaterials, photonic layers, nanoparticle- infused composites, graphene membranes, or multilayer dielectric stacks.

[0171] In accordance with one or more exemplary embodiments of the present disclosure, each tile includes wavelength-selective coatings, plasmonic or photonic lattice structures, quantum dot arrays, electrochromic films, or tunable nanomeshes configured to modulate the transmission spectrum through active or passive control.

[0172] In accordance with one or more exemplary embodiments of the present disclosure, each tile includes embedded sensors configured to measure one or more parameters including solar flux, temperature, vibration, or alignment deviation, and to transmit sensor data to the onboard control and data processing unit.

[0173] In accordance with one or more exemplary embodiments of the present disclosure, each tile includes modular coupling interfaces configured for reversible attachment and detachment using mechanisms selected from magnetic, electrostatic, snap-fit, mechanical clamp, robotic latch, or hybrid coupling systems.

[0174] In accordance with one or more exemplary embodiments of the present disclosure, the plurality of robotic units comprises a plurality of stationary robots configured to maintain circumferential boundary positions, provide reference coordinates, and compensate for positional drift; and a plurality of assembly robots configured to transport, position, interconnect, and replace tiles within the grid structure.

[0175] In accordance with one or more exemplary embodiments of the present disclosure, the stationary robots are equipped with propulsion mechanisms including microthrusters, ion propulsion, cold gas propulsion, reaction wheels, or solar sail vanes to counteract gravitational and radiation pressure disturbances.

[0176] In accordance with one or more exemplary embodiments of the present disclosure, the assembly robots include multi-axis manipulators, adaptive grippers, electroadhesive end-effectors, or robotic clamps for precise tile handling, alignment, and placement in a zero-gravity environment.

[0177] In accordance with one or more exemplary embodiments of the present disclosure, the robotic units operate cooperatively under a distributed swarm control architecture that enables decentralized decision-making, autonomous fault correction, and adaptive task allocation.

[0178] In accordance with one or more exemplary embodiments of the present disclosure, the communication module employs radio-frequency (RF), optical laser, or hybrid communication channels configured for bidirectional data exchange between the infrared radiation filtering subsystem and the control center including the user interfacing unit.

[0179] In accordance with one or more exemplary embodiments of the present disclosure, the communication module includes redundant communication pathways to ensure continuous operation and fault-tolerant data transmission in the event of network disruption.

[0180] In accordance with one or more exemplary embodiments of the present disclosure, further comprising a power management unit configured to derive power from one or more sources including photovoltaic cells, solid-state batteries, wireless power transmission, or radiative energy harvesting.

[0181] In accordance with one or more exemplary embodiments of the present disclosure, the onboard control and data processing unit comprises distributed processors and Al-based algorithms configured to perform predictive modeling, dynamic robotic task allocation, and adaptive optical calibration.

[0182] In accordance with one or more exemplary embodiments of the present disclosure, the onboard control and data processing unit communicates with the control center including the user interfacing unit to exchange diagnostic data, update Al models, and synchronize operational parameters.

[0183] In accordance with one or more exemplary embodiments of the present disclosure, the infrared radiation filtering subsystem further comprises stabilization and attitude control mechanisms including micro-propulsion units, reaction wheels, or electrostatic actuators configured to maintain precise alignment relative to the Sun-Earth vector.

[0184] In accordance with one or more exemplary embodiments of the present disclosure, the system is configured for autonomous calibration and maintenance through periodic tile replacement, optical alignment verification, and fault recovery performed by the robotic units.

[0185] In accordance with one or more exemplary embodiments of the present disclosure, the modular grid structure is scalable and adaptable to expansion through radial, circumferential, or multi-layered configurations, thereby enabling incremental increases in infrared attenuation capacity.

[0186] In accordance with one or more exemplary embodiments of the present disclosure, the infrared radiation filtering subsystem is adaptable for deployment in extraterrestrial environments including lunar, Martian, or other planetary orbits, thereby enabling solar flux regulation, habitat shielding, or localized thermal management applications.

[0187] Reference throughout this specification to “one embodiment”, “an embodiment”, or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of thepresent disclosure. Thus, appearances of the phrases “in one embodiment”, “in an embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[0188] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles of the invention. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

[0189] Thus the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.

Claims

CLAIMS1. A system for climate control and temperature regulation using robotic space-based infrared radiation filtering, comprising: an infrared radiation filtering subsystem configured to be positioned at or near an Earth-Sun Lagrange Point (LI) or any equivalent gravitationally semi-stable region, wherein the subsystem selectively filters a portion of incident solar radiation; a plurality of optically selective tiles forming a modular grid structure, wherein the tiles attenuate a predetermined fraction of solar infrared radiation while transmitting visible light substantially unaffected, thereby maintaining natural illumination and optical transparency from Earth; a plurality of robotic units including stationary robots and assembly robots cooperatively configured to assemble, stabilize, and maintain the grid structure, wherein the stationary robots define circumferential boundary positions and the assembly robots perform tile transport, placement, and replacement operations; a communication module configured to facilitate bidirectional communication between the robotic units, the infrared radiation filtering subsystem, and a control center, whereby real-time telemetry, command exchange, and synchronization between space-based and ground-based components are achieved; an onboard control and data processing unit configured with artificial intelligence (Al) algorithms to autonomously monitor, analyze, and regulate operational parameters of the infrared radiation filtering subsystem, wherein the Al-based control unit continuously adjusts tile orientation, optical response, and robotic positioning to maintain optimal infrared attenuation; anda control center including a user interfacing unit configured to monitor performance, receive telemetry and diagnostic information from the onboard control and data processing unit, and transmit supervisory updates or configuration data as required; thereby reducing the incident infrared radiation reaching the Earth by approximately one to three percent without substantially affecting transmission in the visible spectrum, thus facilitating global temperature regulation, enhancing climate stability, and maintaining ecological and optical equilibrium.

2. The system as claimed in claim 1 , wherein the infrared radiation filtering subsystem comprises a modular framework configured to support and align the plurality of optically selective tiles in a predetermined geometric pattern for uniform infrared attenuation.

3. The system as claimed in claim 2, wherein the modular framework is configured in a hexagonal, polygonal, honeycomb, or tessellated pattern to provide structural stability and optical continuity across the grid structure.

4. The system as claimed in claim 1, wherein each of the optically selective tiles comprises a material selected from a group consisting of optical glass, dielectric coatings, metamaterials, photonic layers, nanoparticle-infused composites, graphene membranes, or multilayer dielectric stacks.

5. The system as claimed in claim 4, wherein each tile includes wavelength-selective coatings, plasmonic or photonic lattice structures, quantum dot arrays, electrochromic films, or tunable nanomeshes configured to modulate the transmission spectrum through active or passive control.

6. The system as claimed in claim 4, wherein each tile includes embedded sensors configured to measure one or more parameters including solar flux, temperature, vibration, or alignment deviation, and to transmit sensor data to the onboard control and data processing unit.

7. The system as claimed in claim 1, wherein each tile includes modular coupling interfaces configured for reversible attachment and detachment using mechanisms selected from magnetic, electrostatic, snap-fit, mechanical clamp, robotic latch, or hybrid coupling systems.

8. The system as claimed in claim 1, wherein the plurality of robotic units comprises a plurality of stationary robots configured to maintain circumferential boundary positions, provide reference coordinates, and compensate for positional drift; and a plurality of assembly robots configured to transport, position, interconnect, and replace tiles within the grid structure.

9. The system as claimed in claim 8, wherein the stationary robots are equipped with propulsion mechanisms including micro-thrusters, ion propulsion, cold gas propulsion, reaction wheels, or solar sail vanes to counteract gravitational and radiation pressure disturbances.

10. The system as claimed in claim 8, wherein the assembly robots include multi-axis manipulators, adaptive grippers, electroadhesive end-effectors, or robotic clamps for precise tile handling, alignment, and placement in a zero-gravity environment.

11. The system as claimed in claim 1, wherein the robotic units operate cooperatively under a distributed swarm control architecture that enables decentralized decisionmaking, autonomous fault correction, and adaptive task allocation.

12. The system as claimed in claim 1, wherein the communication module employs radio-frequency (RF), optical laser, or hybrid communication channels configuredfor bidirectional data exchange between the infrared radiation filtering subsystem and the control center including the user interfacing unit.

13. The system as claimed in claim 12, wherein the communication module includes redundant communication pathways to ensure continuous operation and fault- tolerant data transmission in the event of network disruption.

14. The system as claimed in claim 1, further comprising a power management unit configured to derive power from one or more sources including photovoltaic cells, solid-state batteries, wireless power transmission, or radiative energy harvesting.

15. The system as claimed in claim 1, wherein the onboard control and data processing unit comprises distributed processors and Al-based algorithms configured to perform predictive modeling, dynamic robotic task allocation, and adaptive optical calibration.

16. The system as claimed in claim 1, wherein the onboard control and data processing unit communicates with the control center including the user interfacing unit to exchange diagnostic data, update Al models, and synchronize operational parameters.

17. The system as claimed in claim 1 , wherein the infrared radiation filtering subsystem further comprises stabilization and attitude control mechanisms including micropropulsion units, reaction wheels, or electrostatic actuators configured to maintain precise alignment relative to the Sun-Earth vector.

18. The system as claimed in claim 1 , wherein the system is configured for autonomous calibration and maintenance through periodic tile replacement, optical alignment verification, and fault recovery performed by the robotic units.

19. The system as claimed in claim 1, wherein the modular grid structure is scalable and adaptable to expansion through radial, circumferential, or multi-layered configurations, thereby enabling incremental increases in infrared attenuation capacity.

20. The system as claimed in claim 1 , wherein the infrared radiation filtering subsystem is adaptable for deployment in extraterrestrial environments including lunar, Martian, or other planetary orbits, thereby enabling solar flux regulation, habitat shielding, or localized thermal management applications.

21. A method for climate control and temperature regulation using robotic space-based infrared radiation filtering, the method comprising: positioning an infrared radiation filtering subsystem at or near an Earth-Sun Lagrange Point (LI) or any equivalent gravitationally semi-stable region; assembling a modular grid structure comprising a plurality of optically selective tiles configured to attenuate a controlled fraction of solar infrared radiation while transmitting visible light substantially unaffected; deploying a plurality of robotic units including stationary robots and assembly robots within the infrared radiation filtering subsystem to cooperatively construct, stabilize, and maintain the grid structure; establishing communication within the infrared radiation filtering subsystem between the onboard control and data processing unit, the robotic units, and the communication module, and enabling bidirectional data exchange between the infrared radiation filtering subsystem and a control center that includes a user interfacing unit;processing and analyzing operational data using the onboard control and data processing unit configured with artificial intelligence (Al) algorithms to autonomously regulate tile orientation, optical response, and robotic positioning; and monitoring overall system performance through the user interfacing unit of the control center, which receives telemetry and diagnostic information from the onboard control and data processing unit and facilitates supervisory input or configuration updates, thereby maintaining global temperature regulation while preserving optical transparency and ecological balance.

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