遥感与地理信息系统学报

抽象的

Human like manipulation skill for robots: Learning and control design

Chenguang Yang

In the near future, robots are expected to co-habit with our human beings and work closely with us in various fields and even our daily lives. Unfortunately, most of the current robot control technologies are designed for conventional industrial robots which operate behind safeguarding and for predefined tasks, and thus are not able to cope with the varying tasks in unknown dynamic environments. Therefore, author study human-like adaptive control techniques as well as highly effective human robot skill transfer techniques. Following “from human and for human” principle, i.e., study human motor control skills in order to develop better robot controllers to support human collaborators, they not only aim for versatile and dexterous robot manipulation but also try to make robot providing personalized assistance to human users. They work to create a new cross-disciplinary application area where physiologists are able to employ their knowledge and experiences together with roboticists, through in depth investigations on the relation between humans and robots.