Human-in-the-loop learning and control for robot teleoperation

• Verfasst von: Yang, Chenguang [VerfasserIn]
• Verfasst von: Luo, Jing [VerfasserIn]
• Verfasst von: Wang, Ning [VerfasserIn]
• Titel: Human-in-the-loop learning and control for robot teleoperation
• Verf.angabe: Chenguang Yang, Jing Luo, Ning Wang
• Verlagsort: London, United Kingdom ; San Diego, CA
• Verlag: Academic Press
• Jahr: 2023
• Umfang: 1 online resource (400 pages)
• Fussnoten: Print version record
• ISBN: 978-0-323-95843-1
• ISBN: 0-323-95843-5
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Interaction homme-robot
• Sach-SW: Apprentissage automatique
• Sach-SW: Human-robot interaction
• Sach-SW: Machine learning
• Sach-SW: Remote control
• K10plus-PPN: 1892763001
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544466164
• Lokale URL Inst.: Zum Volltext

Abstract

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.