Autonomous robotic system for tracking, capturing, and eliminating insects and method employed thereof

Abstract

Exemplary embodiments of the present disclosure are directed towards an autonomous robotic system for tracking, capturing, and eliminating insects and method employed thereof. The system comprising an autonomous robotic device is configured to enable communication between a server, and a computing device over a network, whereby the computing device comprises a remote-control module configured to allow the user to remotely control the robotic device. The autonomous robotic device comprising a processor in communication with a capturing unit, whereby the capturing unit is configured to capture insects in an enclosed chamber, and the processor is configured to detect and track images of insects in the space and identify the target insect based on this tracking. The processor configured to receive the data of the insect detection to the navigation unit, wherein the navigation unit configured to navigate towards detected insect locations using simultaneous localization and mapping (SLAM) algorithms, AI-based tracking, and machine learning models to monitor common insect hotspots over time.

Description

“AUTONOMOUS ROBOTIC SYSTEM FOR TRACKING, CAPTURING, AND ELIMINATING INSECTS AND METHOD EMPLOYED THEREOF”TECHNICAL FIELD

[0001] The provided document discusses an insect control system. More particularly, the present disclosure relates to an autonomous robotic system for tracking, capturing, and eliminating insects and method employed thereof.BACKGROUND

[0002] In urban spaces and homes, pests such as flying insects (e.g., mosquitoes, flies) and other household pests are common. These pests often coexist with humans, spreading diseases, contaminating food, and generally causing nuisances. Traditional pest control methods typically involve exclusion, repulsion, physical removal, or the use of chemicals. However, conventional approaches for controlling mosquito populations and other insects largely rely on chemical treatments, which present risks to human health and the environment. Common methods include chemical repellents, electronic insect zappers, and manual eradication techniques. These approaches are limited by factors such as health hazards, reduced effectiveness, labor-intensive processes, and environmental concerns.

[0003] Current insect control solutions, such as chemical sprays, zappers, manual traps, and ultrasonic repellents, have significant drawbacks, including reduced effectiveness, health risks, and inconvenience. As awareness of the harmful effects of chemical pest control methods increases, there is a growing demand for alternative solution methods, compounds, and compositions that can effectively manage insect populations while minimizing negative impacts on human health and the environment. Traditional methods that release harmful toxins are becoming increasingly undesirable. The advanced robotic insect eradication system is designed to autonomously track, capture, and eliminate insects such as mosquitoes, flies, and other household pests.

[0004] In the light of aforementioned discussion, there exists a need for an autonomous robotic system for tracking, capturing, and eliminating insects and method that would overcome or ameliorate the above-mentioned limitations.SUMMARY

[0005] 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.

[0006] Exemplary embodiments of the present disclosure are directed towards an autonomous robotic system for tracking, capturing, and eliminating insects and method employed thereof.

[0007] An objective of the present disclosure is directed towards enabling fully autonomous operation with remote monitoring and control, minimizing user intervention,

[0008] Another objective of the present disclosure is directed towards providing app-based remote control, integration with voice assistant, and auto-recharge capabilities.

[0009] Another objective of the present disclosure is directed towards providing autonomously track, capture, and eliminate insects such as mosquitoes, flies, and household pests.

[0010] Another objective of the present disclosure is directed towards enabling applications beyond household use, encompassing industrial, commercial, and futuristic sectors.

[0011] Another objective of the present disclosure is directed towards revolutionizing insect control across various industries including residential, healthcare, agriculture, industrial, military, and space applications by applying Al-powered automation, robotics, and smart home technology.

[0012] Another objective of the present disclosure is directed towards ensuring versatile navigation across various surfaces to enhance comprehensive pest control, and this is achieved through a combination of loT, Al, and smart home integration, improving usability and performance.

[0013] Another objective of the present disclosure is directed towards achieving consistently high insect eradication efficiency (95-99%), providing a chemical-free, health-safe solution with silent and energy-efficient operation, thereby promoting sustainability and eco-friendliness.

[0014] Another objective of the present disclosure is directed towards ensuring reliable performance across various surfaces, including walls, floors, and ceilings, through its shock and water-resistant construction.

[0015] Another objective of the present disclosure is directed towards providing build with shock-absorbing materials to withstand minor impacts and water-resistant components for durability in humid conditions resulting in the slim structure allows movement under furniture, along walls, and into corners, and the lightweight, durable construction ensures long-lasting operation with reliable performance across various surfaces, including walls, floors, and ceilings.

[0016] Another objective of the present disclosure is directed towards moving in all directions, ensuring comprehensive coverage, and provides safe and sustainable insect control.

[0017] According to an exemplary embodiment of the present disclosure, an autonomous robotic system includes an autonomous robotic device is configured to enable communication between a server, and a computing device over a network, whereby the computing device comprises a remote- control module configured to allow the user to remotely control the robotic device. The autonomous robotic device comprising a processor in communication with a capturing unit, whereby the capturing unit is configured to capture insects in an enclosed chamber, and the processor is configured to detect and track images of insects in the space and identify the target insect based on this tracking.

[0018] According to an exemplary embodiment of the present disclosure, an autonomous robotic system further includes a sensor array is configured to initiate environmental scanning using infrared, ultrasonic, cliff, and laser sensors for insect detection, whereby the sensor array configured to send data of the insect detection to the processor.

[0019] According to an exemplary embodiment of the present disclosure, an autonomous robotic system further includes the processor configured to receive the data of the insect detection to the navigation unit, wherein the navigation unit configured to navigate towards detected insect locations using simultaneous localization and mapping (SLAM) algorithms, Al-based tracking, and machine learning models to monitor common insect hotspots over time.

[0020] According to an exemplary embodiment of the present disclosure, an autonomous robotic system further includes a suction-based capture mechanism unit is configured to utilize a suction-powered brush to capture insects and direct them into an enclosed chamber, where they are neutralized by a high-speed rotary blade.

[0021] According to an exemplary embodiment of the present disclosure, an autonomous robotic system further includes an Al voice assistant module integrated with the autonomous robotic device, whereby the Al voice assistant module is configured to allow users to issue voice commands for cleaning specific areas.

[0022] According to an exemplary embodiment of the present disclosure, an autonomous robotic system further includes an artificial intelligence engine is configured to monitor, locating, and targeting insects, while adapting hunting strategies using Al-based tracking and machine learning models.

[0023] According to an exemplary embodiment of the present disclosure, an autonomous system further includes a memory includes a data storage module is configured to store data related to the capture and neutralization of insects, while also ensuring the hygienic storage of insect remains for a clean and safe process.

[0024] According to an exemplary embodiment of the present disclosure, an autonomous system further includes an insect elimination module is configured to allow the user to remotely monitor and control the device through a mobile app, offering real-time insect count data and performance tracking.BRIEF DESCRIPTION OF THE DRAWINGS

[0025] 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.

[0026] FIG. 1 is a diagram depicting a schematic representation of an autonomous system for the intelligent elimination of robotic insects, according to exemplary embodiments of the present disclosure.

[0027] FIG. 2 is a diagram depicting a system for eliminating insects at their location within a space using an insect eliminating module, according to exemplary embodiments of the present disclosure.

[0028] FIG. 3 is a flow diagram depicting a method for operating an autonomous robotic device to intelligently eliminate insects, according to exemplary embodiments of the present disclosure.

[0029] FIG. 4 is a flow diagram depicting a method for eliminating insects at their location within a space using smart home integration, according to exemplary embodiments of the present disclosure.

[0030] FIG. 5 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

[0031] 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 of being 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.

[0032] 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 so forth, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0033] Referring to FIG. 1 is a diagram 100, depicting a schematic representation of an autonomous system for the intelligent elimination of robotic insects, according to exemplary embodiments of the present disclosure. The autonomous system includes an autonomous robotic device 102, a computing device 104, a network 106, and a server 108. The computing device 104 may include a device such as a smartphone, a personal computer, a server, a workstation, a personal digital assistant, a mobile station, a mobile phone, a computing tablet, a laptop, and the like. The network 106 may include, but not limited to, an Ethernet, a wireless local area network (WLAN), or a wide area network (WAN), an internet of things network (loT network), a Bluetooth low energy network, a ZigBee network, a WIFI communication network e.g., the wireless high-speed internet, or a combination of networks, a cellular service such as a 4G (e.g., LTE, mobile WiMAX) or 5G cellular data service.

[0034] As shown in FIG. 1, an autonomous robotic device 102 includes a processor 110, speakers and audio receiving unit 112, a power unit 114, a sensor array 116, a capturing unit 118, a navigating unit 120, and a memory 122. The autonomous robotic device 102 is configured to enable communication between the server 108, and the computing device 104 over the network 106. The computing device 104 comprises a remote-control module 126 configured to allow theuser to remotely control the robotic device, including through voice assistance. The autonomous robotic device 102 comprising the processor 110 in communication with a capturing unit 118. The capturing unit 118 is configured to capture insects in an enclosed chamber, and the processor 110 is configured to detect and track images of insects in the space and identify the target insect based on this tracking.

[0035] As shown in FIG. 1, The sensor array 116 is configured to initiate environmental scanning using infrared, ultrasonic, cliff, and laser sensors for insect detection. The sensor array 116 configured to send data of the insect detection to the processor 110. The processor 110 may include, but is not limited to, a microcontroller (for example ARM 7 or ARM 11), a microprocessor, a digital signal processor, a microcomputer, a field programmable gate array, a programmable logic device, a state machine or a logic circuitry. The users also control the processor 110 through the network 108.

[0036] As shown in FIG. 1, the processor 110 configured to receive the data of the insect detection to the navigation unit 120. The navigation unit 120 configured to navigate towards detected insect locations using simultaneous localization and mapping (SLAM) algorithms, AI-based tracking, and machine learning models to monitor common insect hotspots over time. Specifically, the Infrared sensors detect insects and distinguish them from obstacles. The Ultrasonic and LiDAR Sensors contribute to precise room mapping and navigation. The Cliff sensors are in place to prevent the device from falling off edges.

[0037] According to the exemplary embodiment, the suction-based capture mechanism is configured to utilize a suction-powered brush to capture insects and direct them into an enclosed chamber, where they are neutralized by a high-speed rotary blade. The adjustable suction chamber includes a motorized suction mechanism that pulls insects into a grinding chamber, with suction power automatically adjusting based on the insect’s size and position. Once captured, the high-speed rotary blade grinds and neutralizes the insect, with the enclosed chamber preventing the scattering of insect parts.

[0038] As shown in FIG. 1, the memory 122 includes a data storage module 206 (As shown in Fig.2) is configured to store data related to the capture and neutralization of insects, while also ensuring the hygienic storage of insect remains for a clean and safe process. The memory 122 also comprising an insect eliminating module 124. The insect elimination module 122 is configured to allow the user to remotely monitor and control the device through a mobile app, offering real-time insect count data and performance tracking. The speakers and an audio receiving unit 112 is configured to receive and processes audio signals from various sources, such as microphones, instruments, or other audio equipment. A power unit 114 is configured to monitor its battery levels and, when dropping below 20%, automatically returns to its charging station, after recharging, the device resumes operation from the point where it left off.

[0039] In exemplary embodiments of the invention disclosure, the robotic device, such as the Robo-Claw, is an advanced system for eradicating insects. It autonomously tracks, captures, and eliminates insects like mosquitoes, flies, and other household pests. The captured insects are neutralized and hygienically stored within the enclosed chamber, ensuring a clean and safe process. The enclosed chamber prevents insect parts from scattering. The key elements requiring protection include navigation algorithms, sensor integration, Al-driven prey detection, suction mechanisms, software, firmware, and industrial design aspects. With its autonomous operation, sustainability focus, and innovative Al-driven features, the autonomous robotic system is set to use smart insect control for households, offices, and commercial spaces, promising a futureforward solution.

[0040] Referring to FIG. 2 is a diagram 200, depicting a system for eliminating insects at their location within a space using an insect eliminating module, according to exemplary embodiments of the present disclosure. The insect eliminating module includes an Al voice assistant module 202, an artificial intelligence engine 204 and a data storage module 206. A bus 201 integrated with the Al voice assistant module 202, the artificial intelligence engine 204 and the data storage module 206. The voice assistant module 202 integrated with the autonomous robotic device. The Al voice assistant module 202 is configured to allow users to issue voice commands for cleaning specific areas integrated with the autonomous robotic device. The integration allows users to effortlessly control the robotic device's cleaning operations usingnatural language commands. The autonomous robotic device supports voice assistants like Alexa, Google Assistant, and other smart home ecosystems, enhancing convenience and accessibility in home maintenance tasks.

[0041] As shown in FIG. 2, the artificial intelligence engine 204 is configured to monitor, locating, and targeting insects, while adapting hunting strategies using Al-based tracking and machine learning models. The data storage module 206 is configured to store data related to the capture and neutralization of insects, while also ensuring the hygienic storage of insect remains for a clean and safe process. The autonomous robotic device 102 operates independently and is compatible with Wi-Fi, smartphone apps, and voice assistants. Its smart automation capabilities include programmable routes and mapping, remote control via smartphones, automatic recharging, and resumption of tasks. Future enhancements may include a solar-powered version, further enhancing its sustainability and operational flexibility.

[0042] Referring to FIG. 3 is a flow diagram 300, depicting a method for operating an autonomous robotic device to intelligently eliminate insects, according to exemplary embodiments of the present disclosure. The method commences at step 302, enabling a user to activate an autonomous robotic device through a computing device. Thereafter at step 304, scanning the environment using a sensor array mounted on the robotic device. Thereafter at step 306, detecting the insects using onboard sensors. Thereafter at step 308 tracking the movement patterns of detected insects and mapping their locations.

[0043] As shown in FIG. 3, thereafter at step 310, navigating to insect-detected areas, utilizing SLAM (Simultaneous Localization and Mapping) algorithms and Al-based tracking for obstacle detection and adaptive hunting strategies. Thereafter at step 312, capturing insects in an enclosed chamber using a suction-based brush mechanism. Thereafter at step 314, neutralizing captured insects using a high-speed rotary blade integrated into the robotic device Thereafter at step 316, collecting data related to insect capture and neutralization, ensuring hygienic storage of insect remains. Thereafter at step 318, storing logged insect data to optimize future operations, leveraging Al to learn common insect habitats and enhance hunting efficiency over time.

[0044] Referring to FIG. 4 is a flow diagram 400, depicting a method for eliminating insects at their location within a space using smart home integration, according to exemplary embodiments of the present disclosure. The method commences at step 402, integrating with autonomous robotic device and Al voice assistant to enable users to issue voice commands for cleaning specific areas. Thereafter at step 404, monitoring, locating, and targeting insects, while adapting hunting strategies using Al-based tracking and machine learning models. Thereafter at step 406, storing data related to the capture and neutralization of insects, including the hygienic storage of their remains.

[0045] Referring to FIG. 5 is a block diagram 500, illustrating the details of digital processing system 500 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. Digital processing system 500 may correspond to computing device 104 (or any other system in which the various features disclosed above can be implemented).

[0046] Digital processing system 500 may contain one or more processors such as a central processing unit (CPU) 510, random access memory (RAM) 520, secondary memory 530, graphics controller 560, display unit 570, network interface 580, an input interface 590. All the components except display unit 570 may communicate with each other over communication path 550, which may contain several buses as is well known in the relevant arts. The components of Figure 1 are described below in further detail.

[0047] CPU 510 may execute instructions stored in RAM 520 to provide several features of the present disclosure. CPU 510 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 510 may contain only a single general-purpose processing unit or can be a part of Cloud processing Unit.

[0048] RAM 520 may receive instructions from secondary memory 530 using communication path 550. RAM 520 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 525 and / or user programs 526. Shared environment 525 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 526.

[0049] Graphics controller 560 generates display signals (e.g., in RGB format) to display unit 570 based on data / instructions received from CPU 510. Display unit 570 contains a display screen to display the images defined by the display signals. Input interface 590 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 580 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, network 106) connected to the network 106.

[0050] Secondary memory 530 may contain hard drive 535, flash memory 536, and removable storage drive 537. Secondary memory 530 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), which enable digital processing system 500 to provide several features in accordance with the present disclosure. Some or all of the data and instructions may be provided on the removable storage unit 540, and the data and instructions may be read and provided by removable storage drive 537 to CPU 510. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, a removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 537.

[0051] The removable storage unit 540 may be implemented using medium and storage format compatible with removable storage drive 537, or cloud storage such that removable storage drive 537 can read the data and instructions. Thus, the removable storage unit 540 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.).

[0052] In this document, the term "computer program product" is used to generally refer to the removable storage unit 540 or hard disk installed in hard drive 535. These computer program products are means for providing instructions to digital processing system 500. CPU 510 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above.

[0053] 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 the present 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.

[0054] Furthermore, the described features, structures, or characteristics of the disclosure may be combined in any suitable manner in one or more embodiments. In the above description, numerous specific details are provided such as examples of programming, software modules, user selections, network transactions, database queries, database structures, hardware modules, hardware circuits, hardware chips, etc., to provide a thorough understanding of embodiments of the disclosure.

[0055] 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 and spirit of the invention. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

[0056] 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. An autonomous robotic system for the intelligent elimination of robotic insects, comprising:an autonomous robotic device is configured to enable communication between a server, and a computing device over a network, whereby the computing device comprises a remote-control module configured to allow the user to remotely control the robotic device;the autonomous robotic device comprising a processor in communication with a capturing unit, whereby the capturing unit is configured to capture insects in an enclosed chamber, and the processor is configured to detect and track images of insects in the space and identify the target insect based on this tracking;a sensor array is configured to initiate environmental scanning using infrared, ultrasonic, cliff, and laser sensors for insect detection, whereby the sensor array configured to send data of the insect detection to the processor;the processor configured to receive the data of the insect detection to the navigation unit, wherein the navigation unit configured to navigate towards detected insect locations using simultaneous localization and mapping (SLAM) algorithms, Al-based tracking, and machine learning models to monitor common insect hotspots over time;a suction-based capture mechanism unit is configured to utilize a suction-powered brush to capture insects and direct them into an enclosed chamber, where they are neutralized by a high-speed rotary blade;an Al voice assistant module integrated with the autonomous robotic device, whereby the Al voice assistant module is configured to allow users to issue voice commands for cleaning specific areas;an artificial intelligence engine is configured to monitor, locating, and targeting insects, while adapting hunting strategies using AI- based tracking and machine learning models;a memory includes a data storage module is configured to store data related to the capture and neutralization of insects, while also ensuring the hygienic storage of insect remains for a clean and safe process, comprising:an insect elimination module is configured to allow the user to remotely monitor and control the device through a mobile app, offering real-time insect count data and performance tracking.

2. The system as claimed in claim 1, wherein further comprising speakers and an audio receiving unit is configured to receive and processes audio signals from various sources, such as microphones, instruments, or other audio equipment.

3. The system as claimed in claim 1, wherein further comprising a power unit is configured to monitor its battery levels and, when dropping below 20%, automatically returns to its charging station, after recharging, the device resumes operation from the point where it left off.

4. The system as claimed in claim 1 , wherein the adjustable suction chamber includes a motorized suction mechanism that pulls insects into a grinding chamber, with suction power automatically adjusting based on the insect’s size and position.A method for operating an autonomous robotic device to intelligently eliminate insects, comprising:enabling a user to activate an autonomous robotic device through a computing device;scanning the environment using a sensor array mounted on the robotic device;detecting the insects using onboard sensors;tracking the movement patterns of detected insects and mapping their locations;navigating to insect-detected areas, utilizing SLAM (Simultaneous Localization and Mapping) algorithms and Al-based tracking for obstacle detection and adaptive hunting strategies;capturing insects in an enclosed chamber using a suction-based brush mechanism;neutralizing captured insects using a high-speed rotary blade integrated into the robotic device;collecting data related to insect capture and neutralization, ensuring hygienic storage of insect remains; andstoring logged insect data to optimize future operations, leveraging Al to learn common insect habitats and enhance hunting efficiency over time.

Images