leesweqq / DRL_Peg-in-Hole_UR5Links
A Deep Reinforcement Learning environment for simulating a UR5 robotic arm performing a peg-in-hole insertion task using visual feedback. Built with PyBullet and Gymnasium, it supports eye-in-hand visual servoing with a camera mounted on the robot's end-effector.
☆20Updated 2 months ago
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