Название: Human-In-the-loop Learning and Control for Robot Teleoperation
Автор: Chenguang Yang, Jing Luo, Ning Wang
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 21.9 MB
Robots are utilized more and more frequently nowadays. They are employed in industrial production processes and human daily life with many more promising prospects for applications. As the depth and breadth of robotics applications continue to expand, robots are expected to work in dynamic and unknown environments to meet more demanding requirements for complex and diverse tasks. Remote control of robots with semi-autonomous capabilities, also known as telerobotics, is a popular and well-developed area which has attracted considerable attention from academia and industry. Telerobots are widely used for missions in hazardous environments, because state-of-the-art autonomous robots cannot perform all required by themselves. Many relevant algorithms and techniques have been developed to address the limitations of physical human–robot interaction (pHRI), perception, and learning capabilities in telerobot development. Among these approaches, teleoperation and robot learning have been proven to enhance performance of telerobots with higher stability and efficiency.