AI/ML + Controls Framework for Robotics
Development of an integrated framework combining artificial intelligence, machine learning, and control systems for robotics applications
An integrated framework that combines artificial intelligence, machine learning, and control systems for advanced robotics applications.
Overview
This framework integrates AI/ML capabilities with traditional control systems to enable more intelligent and adaptive robotic behaviors. The combination allows robots to learn from experience while maintaining the stability and reliability of control-theoretic approaches.
Key Components
- AI/ML Module: Machine learning algorithms for perception, decision-making, and adaptation
- Controls Module: Traditional control systems for stability and safety
- Integration Layer: Seamless combination of both approaches
Applications
The framework can be applied to various robotics domains including manipulation, locomotion, and autonomous navigation.