Extensible Hardware Abstraction Layer for Real-Time Robotics Control
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Solution Overview
Problem
Existing real-time software control systems for physical machines, such as industrial robots, face challenges in integrating new hardware and customizing interfaces to meet specific timing requirements, leading to limitations in precision, reliability, and flexibility.
Innovation Solution
A unified real-time robotics control framework that allows for the integration of arbitrary robotic hardware and sensors, enabling users to define custom control actions through high-level programming and configuration files, while maintaining strict timing constraints, facilitating extensibility and customizability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If closed software modules are used for highly-specialized tasks, then timing precision and reliability are improved, but hardware integration flexibility and extensibility deteriorate
Solution Approach 1:
The control framework is segmented into distinct layers: a real-time control layer that handles time-critical operations with strict timing guarantees, and a hardware integration layer that manages device connectivity and driver loading. This segmentation allows each layer to be optimized independently - the real-time layer maintains precision while the integration layer provides flexibility through dynamic module loading and configuration.
Solution Approach 2:
The patent introduces intermediary components including hardware abstraction layers, device drivers, and configuration files that mediate between the real-time control system and external hardware. These intermediaries enable flexible hardware integration without compromising real-time performance by providing standardized interfaces and isolation mechanisms.
2Adaptability or versatility
If custom hardware integration is enabled, then system versatility and ease of operation are improved, but system complexity increases
Solution Approach 1:
The framework implements universal interfaces and standardized communication protocols that allow diverse hardware devices to be integrated through a common architecture. Configuration files and parameter templates provide multi-functional support for different robot types, sensors, and actuators, reducing the need for custom integration code for each device while maintaining versatility.
Solution Approach 2:
The system uses configuration file templates and parameter copies to define hardware interfaces and control parameters. Instead of creating complex custom integration logic for each device, the framework replicates and adapts standardized configuration templates, simplifying the integration process while supporting diverse hardware through parameter customization.
3Manufacturing precision
If strict timing constraints are maintained, then control precision is improved, but system adaptability and ease of customization deteriorate
Solution Approach 1:
The framework dynamically adjusts the level of real-time constraint enforcement based on the specific control task and hardware capabilities. Configuration parameters allow dynamic tuning of timing requirements, enabling the system to maintain strict timing for critical operations while providing more flexibility for non-critical functions, thus balancing precision requirements with customization needs.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling robots. One of the methods includes receiving custom hardware configuration data for a robot, wherein the custom hardware configuration data specifies a mapping between parts and interfaces belonging to software modules that each correspond to a respective robotic hardware element of the robot, wherein each software module has one or more interfaces that represent capabilities of a robot, and wherein each part, in real-time control code defining actions of a real-time control layer, can reference interfaces of multiple software modules; allocating shared memory resources according to the mapping between parts and interfaces defined in the custom hardware configuration data; executing each software module in a separate process of a real-time control system; and executing the real-time control code that references the interfaces using parts as defined in the custom hardware configuration data.