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Human-in-the-loop Learning and Control for Robot Teleoperation
Explores the technologies and applications of human-in-the loop control and intelligent perception in robot teleoperation systems
Chenguang Yang (Author), Jing Luo (Author), Ning Wang (Author)
9780323951432, Elsevier Science
Paperback / softback, published 13 April 2023
266 pages
22.9 x 15.2 x 1.8 cm, 0.45 kg
Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect.
1. Introduction
2. Software systems and platforms for teleoperation
3. Uncertainties compensation-based teleoperation control
4. User experience-enhanced teleoperation control
5. Shared control for teleoperation
6. Human–robot interaction in teleoperation systems
7. Task learning of teleoperation robot systems
Subject Areas: Human-computer interaction [UYZ], Artificial intelligence [UYQ], Robotics [TJFM1]
