policy
sim2skill
Are-Oelsner · PyTorch
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Overview
Name
sim2skill
Author
Are-Oelsner
Framework
PyTorch
License
MIT
Skill type
navigation
Evidence level
untested
Task description
Simulating a Franka Emika Panda robot in Drake using C++, this project explores Learning from Demonstration to teach manipulation tasks. Expert trajectories are captured in simulation and used to train models via behavior cloning, enabling efficient robot skill acquisition without full reinforcement
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 sim2skill yet.
Datasets that reference this policy
0No datasets reference sim2skill yet.