Human-in-the-loop Learning and Control for Robot Teleoperation

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. Situations become serious when robots handle complicated tasks in uncontrollable environments due to weak intelligence, inadequate sensing, controlling abilities, and unfit mechanical design. Considering imperfect performance of robotic automation, researchers chose teleoperation technology to add human intelligence to robot manipulation, enabling robots to adapt to complex situations and avoid endangering human lives. 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. This 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 in detail the implementation of these control and learning algorithms with adequate application examples and illustrative interpretations. Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation Presents control strategies and learning algorithms to teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system Discusses several control and learning methods in detail, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system INDICE: 1. Introduction2. Preliminaries 3. Neural-learning and wave variable enhanced teleoperation control 4. EMG-based teleoperated control5. Shared teleoperated control6. Task learning of teleoperation robot system

• ISBN: 978-0-323-95143-2
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 400
• Fecha Publicación: 01/04/2023
• Nº Volúmenes: 1
• Idioma: Inglés