Urdf-Environments for OpenAI-Gym
doi: 10.4121/19362017.v1
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doi: 10.4121/19362017
doi: 10.4121/19362017
Datacite citation style:
Spahn, Max (2022): Urdf-Environments for OpenAI-Gym. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/19362017.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
GPL-3.0by
Max Spahn
URDF environments for gym
The simulation environment facilitates simulation of robotic systems with pybullet as its physics engine.
Robots are specified by the URDF-description and are simulated using pybullet.
The interface is the widely used OpenAI-Gym so that reinforcement learning methods can be used. This simulation environment should facilitate motion planning research and prototyping of algorithms.
The simulation environment facilitates simulation of robotic systems with pybullet as its physics engine.
Robots are specified by the URDF-description and are simulated using pybullet.
The interface is the widely used OpenAI-Gym so that reinforcement learning methods can be used. This simulation environment should facilitate motion planning research and prototyping of algorithms.
history
- 2022-03-17 first online, published, posted
publisher
4TU.ResearchData
format
zipped repository
references
funding
- AIRLab Delft
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Cognitive Robotics (COR)
DATA
files (1)
-
36,441,983 bytesMD5:
2ae537b9df079f2e6a35734afb2614f6gym_envs_urdf.zip - download all files (zip)
36,441,983 bytes unzipped
