Overview
Contents
Overview#
Deoxys is a modularized, real-time controller library for Franka Emika Panda to facilitate robot learning research. Deoxys
is developed by Yifeng Zhu and aims to democratize basic knowledge of robot manipulation to the robot learning community through open-sourcing the controller implementation.
Here are a list of features that we identified as strengths of our library.
✔ A user-friendly Python Interface and real-time controller implementation in C++
✔ Specialized for research on closed-loop visuomotor skill learning
✔ Easy configuration of robot controllers
✔ Seamless transfer from robosuite for real-robot control
Past research#
A number of projects have been boosted by
Deoxys
. Here is a list of publications based on Deoxys
so far.
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposals Priors Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu
Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation Yifeng Zhu, Peter Stone, Yuke Zhu
Robot Learning on the Job: Human-in-the-Loop Manipulation and Learning During Deployment Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany, Huihan Liu, Yuke Zhu
Learning and Retrieval from Prior Data for Skill-based Imitation Learning Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu.
Ditto: Building Digital Twins of Articulated Objects from Interaction Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen, Zhenyu Jiang, Christopher Choy, Leonidas J. Guibas, Silvio Savarese, Anima Anandkumar, Yuke Zhu
Reference#
If you find this repo useful for your research, please cite us through the following work:
@article{zhu2022viola,
title={VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors},
author={Zhu, Yifeng and Joshi, Abhishek and Stone, Peter and Zhu, Yuke},
journal={6th Annual Conference on Robot Learning},
year={2022}
}