policy
ur5_reinforcement_learning_grasp_object
leesweqq · Stable-Baselines3
or hover any field below to flag it
Overview
Name
ur5_reinforcement_learning_grasp_object
Author
leesweqq
Framework
Stable-Baselines3
License
MIT
Skill type
manipulation
Evidence level
community
Task description
A custom PyBullet environment for UR5 pick-and-place task. Trained using the SAC algorithm from Stable-Baselines3 for continuous control and robotic manipulation.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
20anybotics-anymal-cnot in seedalohanot in seedgoogle-barkour-vbnot in seedboston-dynamics-spotnot in seedfranka-fr3not in seedgoogle-barkour-v0not in seedagilex-pipernot in seedberkeley-humanoidnot in seedbitcraze-crazyflie-2not in seedanybotics-anymal-bnot in seedagility-cassienot in seedarx-l5not in seedbooster-t1not in seedfranka-emika-pandanot in seedfranka-fr3-v2not in seeddynamixel-2rnot in seedflexiv-rizon4not in seedassetsnot in seedapptronik-apollonot in seedfourier-n1not in seed
Compatible environments
0No environments list ur5_reinforcement_learning_grasp_object yet.
Datasets that reference this policy
0No datasets reference ur5_reinforcement_learning_grasp_object yet.