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small modular simulation environments

Project description

TinySim

PyPI Jupyterlite

The goal of this project is to create more minimal simulation environments for robotics and machine learning.

Existing solutions like ROS 2 and Gymnasium come with many heavy dependencies.

Additionally they are usually difficult to get setup and may require domain specific knowledge to use. Simulation environments should be able to run in any notebook environment and require fewer dependencies.

Get Started 🚀

To use the baseline Python only simulation environments.

pip install tinysim
MountainCarEnv TopDownDrivingEnv
mountain_car topdown_driving
FroggerEnv FlappyEnv
frogger flappy

To use the warp simulation environments.

pip install tinysim[warp]
CartPoleBaseEnv SimpleRobotDogBaseEnv
warp_cart_pole warp_simple_quadruped

To use the mujoco simulation environments.

pip install tinysim[mujoco]
UnitreeA1WalkEnv ManipulationEnvV0
mujoco_sim mujoco_sim

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