policy
dp-rrl
zju-embodied-ai · PyTorch
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Overview
Name
dp-rrl
Author
zju-embodied-ai
Framework
PyTorch
License
MIT
Skill type
manipulation
Evidence level
untested
Task description
A Hybrid Framework Using Diffusion Policy and Residual RL for Force-Sensitive Robotic Manipulation
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list dp-rrl yet.
Datasets that reference this policy
0No datasets reference dp-rrl yet.