Efficient learning variable impedance control for industrial robots
Compared with the robots, humans can learn to perform various contact tasks in unstructured environments by modulating arm impedance characteristics. In this article, we consider endowing this compliant ability to the industrial robots to effectively learn to perform repetitive force-sensitive tasks...
Main Authors: | C. Li, Z. Zhang, G. Xia, X. Xie, Q. Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2019-04-01
|
Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/111781/PDF/06_201-212_00929_Bpast.No.67-2_06.02.20.pdf |
Similar Items
-
Efficient Force Control Learning System for Industrial Robots Based on Variable Impedance Control
by: Chao Li, et al.
Published: (2018-08-01) -
Data-Efficient Reinforcement Learning for Variable Impedance Control
by: Akhil S. Anand, et al.
Published: (2024-01-01) -
Dual PID Adaptive Variable Impedance Constant Force Control for Grinding Robot
by: Chong Wu, et al.
Published: (2023-10-01) -
Robotic Impedance Learning for Robot-Assisted Physical Training
by: Yanan Li, et al.
Published: (2019-08-01) -
Human–Robot Collaboration Framework Based on Impedance Control in Robotic Assembly
by: Xingwei Zhao, et al.
Published: (2023-11-01)