Path Recognition and Virtual Guides Design for Path Following Based on Human–Robot Collaboration
Author:
Affiliation:
1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
2. Department of Engineering and Design, University of Sussex, Brighton, U.K.
Funder
Sichuan Science and Technology Program
National Natural Science Foundation of China
State Key Laboratory of Robotics and Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10103730/09942949.pdf?arnumber=9942949
Reference29 articles.
1. Vision-Based Path Generation Method for a Robot-Based Arc Welding System
2. Trajectory learning from demonstration with canal surfaces: A parameter-free approach
3. Waypoints updating based on Adam and ILC for path learning in physical human-robot interaction
4. Iterative learning of human partner’s desired trajectory for proactive human–robot collaboration
5. A DMPs-Based Framework for Robot Learning and Generalization of Humanlike Variable Impedance Skills
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