GitHub / biorobotics / Wombat_robosuite
This work builds on top of mujoco-powered robosuite framework, and is designed for learning object-agnostic control policy for pick-and-place operations on a novel 6-DoF parallel manipulator using deep reinforcement learning. This pipeline utilizes DDPG combined with HER algorithm for training a robust manipulation policy.
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PURL: pkg:github/biorobotics/Wombat_robosuite
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 267 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: 6-dof-manipulator, ddpg, deep-reinforcement-learning, hindsight-experience-replay, mujoco, pick-and-place, robosuite, robotics, simulation