Task Board Environments for Isaac Lab
Description
This archive contains Reinforcement Learning environments for NVIDIA Isaac Lab in which simulated robots can interact with a model of the Internet-connected task board.
The environments are provided in an unfinished state. The development goal was to achieve pushing of one button, adjusting the slider, then pushing the other button; the former was shown to be achievable with the environments as they are provided here.
Note that the copyright notice and MIT license only cover our own custom developments; integrated elements from third-parties may be covered by differing licenses.
See contained readme file for more info on environments, components, and usage.
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Additional details
Related works
- Cites
- Software: https://github.com/Multiverse-Framework/Multiverse-Resources (URL)
- Software: http://github.com/peterso/robotlearningblock (URL)
- Journal article: 10.1109/MRA.2023.3336473 (DOI)
- Requires
- Software: https://developer.nvidia.com/isaac/lab (URL)