Augmenting Human Policies using Riemannian Metrics for Human-Robot Shared Control
Author:
Affiliation:
1. University of Stuttgart,Machine Learning and Robotics Lab,Germany
2. Max Planck Institute for Intelligent Systems,Tübingen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10309296/10309265/10309363.pdf?arnumber=10309363
Reference32 articles.
1. Learning to Arbitrate Human and Robot Control using Disagreement between Sub-Policies
2. A robotic shared control teleoperation method based on learning from demonstrations
3. Highly Parallelized Data-Driven MPC for Minimal Intervention Shared Control
4. Human-Robot Mutual Adaptation in Shared Autonomy
5. Unity robotics hub,2019
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