Chenguang Yang

Ning Wang

Jing Luo

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. 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 a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system

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

This two-volume set offers a comprehensive overview of major challenges faced by cities worldwide in the 21st century, and how cities in different geographic, economic, and political conditions are finding solutions to them. • Offers students more than a simple A–Z encyclopedia of the world's major cities by delving deep into the issues that these urban centers face • Includes approximately 100 entries on a multitude of issues in a variety of cities around the world, from Abu Dhabi to Zurich • Includes photographs to help to illuminate and provide visual support to the text • Features entries written by more than 30 scholars with backgrounds in a variety of disciplines, contributing to a well-rounded, comprehensive text

Cities around the World: Struggles and Solutions to Urban Life [2 volumes]

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.

Jing Luo

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