Journal Article

Combined perception, control, and learning for teleoperation: key technologies, applications, and challenges

He, Wei, Yang, Chenguang, Luo, Jing

2020

Overview

Teleoperation provides a promising way for human–robot collaboration in the unknown or unstructured environments to perform a cooperative task. It enables humans to complete a task at a remote side and combines both the human's intelligence and the robots’ capabilities in a collaborative task. Therefore, it is necessary to conduct cross researches in terms of robotics, artificial intelligence, sensors, and mechatronics. This study covers the state-of-the-arts research in terms of perception, control, and learning. In this review, key technologies about information perception mechanism, control algorithms, human–robot interface, and robot learning strategies for teleoperation are introduced. Then, a comprehensive survey is summarised in representative applications in teleoperation, and the existing challenges and potential directions of the development are discussed.

• Publisher: The Institution of Engineering and Technology,John Wiley & Sons, Inc,Wiley
• Subject: Artificial intelligence / Automation / collaborative task / combined perception / Control algorithms / cross researches / existing challenges / Feedback / Haptics / human-robot interaction / human–robot collaboration / human–robot interface / information perception mechanism / Learning / learning (artificial intelligence) / mechatronics / Microsurgery / mobile robots / Perception / Radioactive wastes / representative applications / Review Article / robot learning strategies / Robotics / Robots / Sensors / state-of-the-arts research / teleoperation / telerobotics / unknown environments / unstructured environments / Waste disposal / Work environment