Open AccessCombined perception, control, and learning for teleoperation: key technologies, applications, and challenges
Author(s) -
Luo Jing,
He Wei,
Yang Chenguang
Publication year - 2020
Publication title -
cognitive computation and systems
Language(s) - English
Resource type - Journals
ISSN - 2517-7567
DOI - 10.1049/ccs.2020.0005
Subject(s) - teleoperation , task (project management) , robot , human–computer interaction , mechatronics , key (lock) , telerobotics , robotics , perception , artificial intelligence , computer science , interface (matter) , control (management) , human–robot interaction , engineering , systems engineering , mobile robot , computer security , neuroscience , bubble , maximum bubble pressure method , parallel computing , biology
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.