policy
GCRL_UR10e
cherylwang20 · PyTorch
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Overview
Name
GCRL_UR10e
Author
cherylwang20
Framework
PyTorch
License
unknown
Skill type
manipulation
Evidence level
untested
Task description
GCRL_UR10e is a sim-to-real reinforcement learning framework for the UR10e robotic arm, using goal-conditioned policies trained in simulation and deployed with either servoJ or moveJ control. The system leverages visual goals and supports real-time testing for reach-and-grasp tasks.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list GCRL_UR10e as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list GCRL_UR10e yet.
Datasets that reference this policy
0No datasets reference GCRL_UR10e yet.