Robotic Deep Rolling With Iterative Learning Motion and Force Control

Author:

Chen ShuyangORCID,Wang Zhigang,Chakraborty Abhijit,Klecka Michael,Saunders Glenn,Wen JohnORCID

Funder

Advanced Robotics for Manufacturing

Institute under Agreement Number

Office of the Secretary of Defense

ARM Project Management

Cara Mazzarini

ARM

Office of the Secretary of Defense of the U.S. Government

New York State Empire State Development Division of Science, Technology and Innovation

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

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Joint Trajectory Optimization for Redundant Manipulators with Constant Path Speed;2024 American Control Conference (ACC);2024-07-10

2. OPC UA-based Force Control for Deep Rolling with Mechanical Tools;International Journal of Precision Engineering and Manufacturing-Smart Technology;2024-07-01

3. Multiple estimation models for discrete-time adaptive iterative learning control;International Journal of Systems Science;2024-04-09

4. An adaptive impedance control method for blade polishing based on the Kalman filter;The International Journal of Advanced Manufacturing Technology;2024-03-23

5. Development of an Easy-to-Cut Six-Axis Force Sensor;IEEE Robotics and Automation Letters;2024-01

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