Reinforcement-Learning-Based Robust Force Control for Compliant Grinding via Inverse Hysteresis Compensation
Author:
Affiliation:
1. Institute of Robotics and Automatic Information Systems, College of Artificial Intelligence, Nankai University, Tianjin, China
2. Department of Mechanical Engineering, City University of Hong Kong, Hong Kong
Funder
National Natural Science Foundation of China
Science Fund for Distinguished Young Scholars of Tianjin Municipality
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/3516/10361845/10109779.pdf?arnumber=10109779
Reference45 articles.
1. Pose Error Estimation Using a Cylinder in Scanner-Based Robotic Belt Grinding
2. 3-D Shape Matching of a Blade Surface in Robotic Grinding Applications
3. Robust Wheel Wear Monitoring System for Cylindrical Traverse Grinding
4. Accurate robotic belt grinding of workpieces with complex geometries using relative calibration techniques
5. Automation of Polishing Process for a Cavity Surface on Dies and Molds by Using an Expert System
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