panda-gym 3.0.7

Description:

pandagym 3.0.7

panda-gym
Set of robotic environments based on PyBullet physics engine and gymnasium.







Documentation
Check out the documentation.
Installation
Using PyPI
pip install panda-gym

From source
git clone https://github.com/qgallouedec/panda-gym.git
pip install -e panda-gym

Usage
import gymnasium as gym
import panda_gym

env = gym.make('PandaReach-v3', render_mode="human")

observation, info = env.reset()

for _ in range(1000):
action = env.action_space.sample() # random action
observation, reward, terminated, truncated, info = env.step(action)

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

env.close()

You can also
Environments









PandaReach-v3
PandaPush-v3






PandaSlide-v3
PandaPickAndPlace-v3






PandaStack-v3
PandaFlip-v3







Baselines results
Baselines results are available in rl-baselines3-zoo and the pre-trained agents in the Hugging Face Hub.
Citation
Cite as
@article{gallouedec2021pandagym,
title = {{panda-gym: Open-Source Goal-Conditioned Environments for Robotic Learning}},
author = {Gallou{\'e}dec, Quentin and Cazin, Nicolas and Dellandr{\'e}a, Emmanuel and Chen, Liming},
year = 2021,
journal = {4th Robot Learning Workshop: Self-Supervised and Lifelong Learning at NeurIPS},
}

Environments are widely inspired from OpenAI Fetch environments.