Auto-Generated Coordination Logic for Smart Robotics Control
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Solution Overview
Problem
Traditional systems for smart and robotics environments are inflexible, expensive, and require manual redevelopment for new devices and functions, lacking a generic mechanism for automating control and monitoring solutions across multiple devices and environments.
Innovation Solution
A method for auto-generating a control and monitoring solution using a domain-specific language (DSL) to capture information on processes and device capabilities, synthesizing coordination control logic, and generating auto-coded solutions for dynamic device coordination and monitoring, enabling flexible adaptation to changing contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional centralized control systems are used with customized program code for specialized user-defined control tasks, then control precision and reliability are improved, but device complexity and difficulty of adaptation increase
Solution Approach 1:
The system segments control functionality into independent, reusable service modules that can be individually developed, tested, and deployed. Each service represents a discrete control task that can be composed dynamically, reducing overall system complexity while maintaining reliable control through modular architecture.
Solution Approach 2:
The patent implements a universal service-oriented architecture where a single centralized controller can perform multiple specialized control tasks through reusable service modules. This multi-functional approach eliminates the need for separate specialized controllers, reducing device complexity while maintaining control reliability through a unified management framework.
2Reliability
If traditional systems require complete software revision for the entire system when new devices are incorporated, then system reliability is maintained, but productivity and ease of manufacture deteriorate
Solution Approach 1:
The system dynamically adapts to new devices through automatic service discovery and registration mechanisms. When new devices are incorporated, the system automatically detects them, registers their capabilities as services, and integrates them into the control framework without requiring complete software revision, thus maintaining reliability while improving development productivity.
Solution Approach 2:
The system implements self-service capabilities where new devices automatically register themselves with the centralized controller, declaring their services and capabilities. This self-configuration approach eliminates the need for manual software revision, allowing the system to maintain reliability through automated service integration while significantly improving productivity.
3Manufacturing precision
If expert reprogramming is required to alter control system functions, then control precision is maintained, but ease of operation and loss of time increase
Solution Approach 1:
The system incorporates feedback mechanisms where service modules automatically report their status, capabilities, and performance metrics to the centralized controller. This feedback enables automatic adaptation and optimization of control functions without expert reprogramming, maintaining control precision through continuous monitoring and adjustment while eliminating time-consuming manual reprogramming.
Solution Approach 2:
The patent enables dynamic modification of control parameters and service configurations through the service-oriented architecture. Control functions can be altered by changing service parameters or composing different service modules, allowing flexible adaptation without expert reprogramming while maintaining control precision through parameter-based configuration rather than code modification.
4Adaptability or versatility
If complex standards and protocols are adopted for interoperability among multiple devices from different manufacturers, then adaptability is improved, but device complexity increases
Solution Approach 1:
The centralized controller acts as an intermediary that manages device interoperability through a unified service-oriented interface. Rather than requiring devices to directly implement complex communication protocols with each other, the centralized controller mediates interactions, translating between different device protocols and a standardized service interface, thus improving adaptability while reducing individual device complexity.
Data Source
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AI summary
Systems and methods for auto-generating a control and monitoring solution for smart and robotics environments. The traditional systems and methods provide solutions for the smart and robotics environments by manually generating codes but none them provide for auto-generation of the control and monitoring solutions and the corresponding coordination logics. Embodiments of the present disclosure provide for auto-generating the control and monitoring solution by capturing a set of domain knowledge and information on capabilities of a plurality of devices by an accumulator module (201), auto-generating a controlled coordination logic based upon the set of domain knowledge and the capabilities information by a control logic synthesizer module (202) and auto-generating, by an implementation module (203), the control and monitoring solution for the smart and robotics environments based upon the coordination control logic.