Eye-in-Hand Visual Servoing for Dynamic Tracking
OpenCV, ROS, C++/Python
- Developed an active visual servoing control loop using an XArm manipulator equipped with an end-effector-mounted RGB-D camera.
- Utilized OpenCV and ROS TF to estimate the 6D pose of ArUco markers, computing the necessary velocity commands to dynamically adjust the robot’s trajectory in real-time.