policy
Awesome-Learning-for-Manipulation
Noietch · PyTorch
or hover any field below to flag it
Overview
Name
Awesome-Learning-for-Manipulation
Author
Noietch
Framework
PyTorch
License
unknown
Skill type
manipulation
Evidence level
untested
Task description
A curated list of papers on learning-based robot manipulation, covering VLA, video-action models, visuomotor policies, world models, benchmarks, and industry tech reports.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+19 mentioned but not in catalog yetNo robots list Awesome-Learning-for-Manipulation as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list Awesome-Learning-for-Manipulation yet.
Datasets that reference this policy
0No datasets reference Awesome-Learning-for-Manipulation yet.