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SUMMARY:Human-machine interaction for collaborative robotic systems
DTSTART:20160705T110000
DTEND:20160705T120000
DTSTAMP:20260503T101737Z
UID:0e4dd0bc29093bf016b987568648d471d56911acc0a445fb6cde546d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Etienne Burdet Ph.D.\, Chair in Human Robotics\, Imperial Coll
 ege London\, United Kingdom\nEPFL IMT Distinguished Lecture Series\nAbstra
 ct: The development of efficient collaborative robotic systems for industr
 y and health requires intuitive interfaces as well as an understanding of 
 how humans interact with the environment. This talk will present some of t
 he dedicated tools we have designed for the study of interaction control i
 n humans\, such as intelligent objects\, dual robotic interfaces and robot
 s compatible with magnetic resonance imaging (MRI). It will describe the i
 nsights we gained on the way humans adapt their control to the environment
  and to interacting partners\, and how this knowledge can be used to desig
 n systems for robot-assisted neurorehabilitation and manipulation tasks tr
 aining.\nBio: Dr. Etienne Burdet is Professor of Human Robotics in the Dep
 artment of Bioengineering at The Imperial College of Science\, Technology 
 and Medicine. He is also a visiting Professor at Nanyang Technology in Sin
 gapore and at University College London. He holds an MSc in Mathematics (1
 990)\, an MSc in Physics (1991)\, and a PhD in Robotics (1996)\, all from 
 ETH-Zürich. He was a postdoctoral fellow with TE Milner from McGill Unive
 rsity\, Canada\, JE Colgate from Northwestern University\, USA and Mitsuo 
 Kawato of ATR in Japan. Professor Burdet’s group uses an integrative app
 roach of neuroscience and robotics to: i) investigate human motor control\
 , and ii) design efficient systems for training and rehabilitation\, which
  are tested in clinical trials.
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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