https://github.com/iquibalamhm/plasticine-lab-cmu

Plasticine lab for manipulation
https://github.com/iquibalamhm/plasticine-lab-cmu

Last synced: about 2 months ago
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Plasticine lab for manipulation

• Host: GitHub
• URL: https://github.com/iquibalamhm/plasticine-lab-cmu
• Owner: iquibalamhm
• Created: 2022-02-09T16:28:18.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-06-02T17:02:01.000Z (over 2 years ago)
• Last Synced: 2024-08-02T11:23:08.165Z (5 months ago)
• Language: Python
• Size: 1.35 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-taichi - PlasticineLab - A Soft-Body Manipulation Benchmark with Differentiable Physics. (Applications / **Robotics**)
• awesome-taichi - PlasticineLab - A Soft-Body Manipulation Benchmark with Differentiable Physics. (**Robotics**)

README

        
# PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics

## Usage

 - Install `python3 -m pip install -e .`

 - Run `python3 -m plb.algorithms.solve --algo [algo] --env_name [env_name] --path [output-dir]`. It will run algorithms `algo` for environment `env-name` and store results in `output-dir`. For example

    `python3 -m plb.algorithms.solve --algo action --env_name Move-v1 --path output` will run call an Adam optimizer to optimize an action sequence in environment `Move-v1`