UR5 Pick-and-Place Environment with PyBullet for Reinforcement Learning

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kyleliiii · 3h ago

This project is a custom OpenAI Gym-compatible environment designed for simulating a UR5 robotic arm with a Robotiq 2F-85 gripper using PyBullet. The environment enables training and testing reinforcement learning algorithms for a basic pick-and-place task in a 3D physics-based simulation.

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UR5 Pick-and-Place Environment with PyBullet for Reinforcement Learning

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