leesweqq/DRL_Peg-in-Hole_UR5

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.

2 best points · 0 comments · 1 Hacker News post · 73 GitHub stars · View on GitHub

Hacker News discussions

• DRL Peg-in-Hole Task Using Robotic Arm (2 points, 0 comments, by kyleliiii, 2025-07-31)