Zero-Shot Transfer of Haptics-Based Object Insertion Policies
Author:
Affiliation:
1. Intel Labs
2. Massachusetts Institute of Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160346.pdf?arnumber=10160346
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1. Imitation Learning for High Precision Peg-in-Hole Tasks
2. robosuite: A modular simulation framework and benchmark for robot learning;zhu;ArXiv Preprint,2020
3. A Learning-Based Framework for Robot Peg-Hole-Insertion
4. Proximal policy optimization algorithms;schulman;ArXiv Preprint,2017
5. Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach
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1. Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
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