A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks With Mobile Manipulators
Author:
Affiliation:
1. Human-Robot Interfaces and physical Interaction lab, Istituto Italiano di Tecnologia, Genoa, Italy
2. Deptartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7083369/9750005/09812501.pdf?arnumber=9812501
Reference23 articles.
1. A Framework for Autonomous Impedance Regulation of Robots Based on Imitation Learning and Optimal Control
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