报告题目：Learning to Control Visually GuidedRobotic Systems

报告人：  Laxmidhar Behera（巴哈拉）教授

          Department of ElectricalEnigineering

          Indian Institute ofTechnology, Kanpur

时间：2014年9月15日上午10：00

地点：第2教研楼南楼228（自动化学院会议室）

欢迎教师和研究生踊跃参加

报告内容简介(Abstract)：: 

Part I: This part is concerned with learning controlstrategies for robotic systems using visual feedback. Different learningarchitectures such as self-organizing map based neural and fuzzy systems,adaptive critic networks, TS fuzzy systems etc. will be revisited. Novellearning algorithms will be presented which have been experimentally validatedon different robotic platforms.

Part II: Adaptive Critic based optimal redundancyresolution of a 7 DOF robot manipulator will be discussed. A novel SNAC basedvisual controller will be presented with experimental validation. 

Part III: Robotic systems can become smart by imitationlearning. Robots can learn to hit a ball with precision. Robots can learn tograsp a 3D object. Robots can learn to stack objects. Such tasks will bedemonstrated through experimentation.

Laxmidhar Behera教授简介

Laxmidhar Behera(S' 92-M' 03-SM' 03) received theBSc(engineering) and MSc(engineering) degrees from NIT Rour kela in 1988 and1990, respectively. He received the PhD degree from IIT Delhi in 1996. He iscurrently working as a professor in the Department of Electrical Engineering,IIT Kanpur. He has worked as an assistant professor at BITS Pilani during1995-1999 and pursued the postdoctoral studies in the German National ResearchCenter for Information Technology, GMD, Sank Augustin, Germany, during2000-2001. He joined the Intelligent Systems Research Center(ISRC), Universityor Ulster, United Kingdom, as a reader on sabbatical from IIT Kanpur during2007-2009. He has also worked as a visiting researcher/professor at FHG,Germany, and ETH, Zurich, Switzerland. He has more than 180 papers to hiscredit published in refereed journals and presented in conference proceedings.His research interests include intelligent control, robotics, semanticsignal/music processing, neural networks, control of cyberphysical systems andcognitive modeling. He is a senior member of the IEEE.