leesweqq / DRL_Peg-in-Hole_UR5
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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.
42Aug 2, 2025Updated 6 months ago

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