Robotics Control Generation Using DSL and Closed-Loop Verification
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Solution Overview
Problem
Current robotics solutions are monolithic, lack interoperability, and are costly due to their specialization in specific applications and domains, making it difficult to develop new robotics applications and integrate new sensors or behaviors into existing systems.
Innovation Solution
A method and system for generating control system solutions for robotics environments, which involves acquiring robotics domain knowledge from multiple sources, extracting solution specifications, translating them into design solutions, and generating control system solutions using a Domain Specific Language (DSL) for various robotics operating systems and simulators, with optimization and verification through simulation models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional specialized robotics solutions are used for specific applications, then the system can be optimized for that particular application, but the system lacks interoperability and requires tremendous resources for each new application
Solution Approach 1:
The patent implements a universal robotics architecture that can serve multiple applications through standardized interfaces and modular components. The system uses a common framework that supports different robot types, sensors, and behaviors through standardized communication protocols and plugin architectures, eliminating the need for separate specialized systems for each application.
Solution Approach 2:
The patent divides the robotics system into independent modular components including sensor modules, actuator modules, control algorithms, and service layers. Each module can be independently developed, tested, and reused across different applications. The system architecture separates concerns between hardware abstraction, control logic, and application-specific behavior, enabling flexible reconfiguration.
2Reliability
If traditional monolithic robotics architectures are used, then the system can be specialized for a particular domain, but the device complexity increases and development becomes costly
Solution Approach 1:
The patent segments the monolithic architecture into hierarchical layers including hardware abstraction layer, device driver layer, service layer, and application layer. Each layer has defined interfaces and responsibilities, reducing overall system complexity while maintaining domain-specific functionality through configurable parameters and modular components.
Solution Approach 2:
The patent introduces intermediary layers including device drivers and service modules that mediate between hardware components and application logic. These intermediaries provide standardized interfaces that simplify integration and reduce complexity by handling communication protocols, error handling, and resource management centrally rather than in each application.
3Manufacturing precision
If traditional robotics systems are developed from scratch for each application, then the system can be optimized for specific requirements, but the development time and resources increase tremendously
Solution Approach 1:
The patent implements pre-configured templates, standardized device drivers, and library functions for common robotics tasks. The system includes pre-developed service modules for sensor integration, motion control, and navigation that can be directly applied to new applications, eliminating the need to develop these fundamental components from scratch for each project.
Solution Approach 2:
The patent enables reuse of proven system configurations, control algorithms, and integration patterns across multiple applications. The architecture supports copying and adapting existing module implementations to new contexts through parameter configuration and interface compatibility, reducing development effort while maintaining optimization for specific application requirements.
4Adaptability or versatility
If new sensors or behaviors are added to existing robotics applications, then the system functionality is improved, but integration into monolithic architecture becomes laborious
Solution Approach 1:
The patent structures the system with independent module interfaces that allow new sensors and behaviors to be added as separate plug-in components. Each sensor and behavior is implemented as an independent module with standardized interfaces, enabling addition without modifying the core architecture or existing functionality, thus maintaining low integration complexity.
Solution Approach 2:
The patent designs universal interfaces and abstraction layers that accommodate diverse sensors and behaviors through a common framework. The system uses standardized data formats, communication protocols, and service interfaces that allow new components to integrate seamlessly without requiring changes to the monolithic structure, enabling easy functionality expansion.
Data Source
AI summary
Systems and methods for generating control system solutions for robotics environments is provided. The traditional systems and methods provide robotics solutions but specialized to only a particular robotic application, domain, and selected structure. The embodiments of the proposed disclosure provide for generating one or more control system solutions for a plurality of robotics environment by acquiring a robotics domain knowledge corresponding to the plurality of robotics environments; extracting one or more solution specifications based upon the robotics domain knowledge; translating the one or more solution specifications into one or more design solutions; generating, the one or more control system solutions for the plurality of robotics environments; and optimizing the one or more control system solutions generated by performing, based upon a set of task execution logs executed, a close loop verification to validate a plurality of commands and a plurality of state transitions executing in the plurality of robotics environments.