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.
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.