Robotics Perception and Control
Published:
A comprehensive robotics framework that integrates perception and control for autonomous manipulation tasks. This project combines computer vision techniques with advanced control algorithms to enable robots to understand and interact with their environment.
Key Features
- Real-time object detection and tracking
- Kinematic modeling and motion planning
- Sensor fusion with EKF
- Vision-based control strategies
Technologies
- ROS (Robot Operating System)
- OpenCV
- PyTorch
- Control theory implementations