Neural learning enhanced teleoperation control of robots with uncertainties

	Neural learning enhanced teleoperation control of robots with uncertainties
	Chenguang Yang; Junshen Chen; Long Cheng
	2016
会议名称	9th International Conference on Human System Interactions (HSI)
会议日期	JUL 06-08, 2016
会议地点	Portsmouth
会议举办国	England
摘要	For most teleoperation tasks, it is desired that the telerobot manipulator follows timely and precisely the reference motion set at the master side. However, the conventional control approach may not guarantee the desired performance when there are dynamic uncertainties, especially when there is a notable variation of the telerobot's payload. In this paper, a neural learning based compensation mechanism has been exploited to overcome the effect of the unknown payload as well as uncertainties associated with the telerobot model and the environment. Guaranteed transient performance has been theoretically established. The deterministic learning technique has been employed, such that the neural learned knowledge can be efficiently reused. We performed comparative experiments and demonstrate the effectiveness of the proposed design techniques.
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/23135
专题	复杂系统认知与决策实验室_先进机器人
推荐引用方式 GB/T 7714	Chenguang Yang,Junshen Chen,Long Cheng. Neural learning enhanced teleoperation control of robots with uncertainties[C],2016.