Gymnasium-Robotics is a collection of robotics simulation environments for Reinforcement Learning#

Fetch Pick And Place

This library contains a collection of Reinforcement Learning robotic environments that use the Gymansium API. The environments run with the MuJoCo physics engine and the maintained mujoco python bindings.

The creation and interaction with the robotic environments follow the Gymnasium interface:

import gymnasium as gym
env = gym.make("FetchPickAndPlace-v2", render_mode="human")
observation, info = env.reset(seed=42)
for _ in range(1000):
   action = policy(observation)  # User-defined policy function
   observation, reward, terminated, truncated, info = env.step(action)

   if terminated or truncated:
      observation, info = env.reset()