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VERSION:2.0
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SUMMARY:Interacting with Complex Multi-Robot Networks
DTSTART:20130704T141500
DTEND:20130704T151500
DTSTAMP:20260408T085052Z
UID:4557b679836763c9e4ef212c59d515b0428498590d7685fd0870b52a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Magnus Egerstedt\, Professor at Georgia Tech\nBio: \nMagnus Eg
 erstedt is the Schlumberger Professor in the School of Electrical and Comp
 uter Engineering at the Georgia Institute of Technology. He received the M
 .S. degree in Engineering Physics and the Ph.D. degree in Applied Mathemat
 ics from the Royal Institute of Technology\, Stockholm\, Sweden\, and the 
 B.A. degree in Philosophy from Stockholm University. Dr. Egerstedt conduct
 s research in the areas of control theory and robotics\, with particular f
 ocus on control and coordination of complex networks\, such as multi-robot
  systems\, mobile sensor networks\, and cyber-physical systems. He serves 
 as Deputy Editor-in-Chief for the IEEE Transactions on Control of Networke
 d Systems and directs the Georgia Robotics and Intelligent Systems Laborat
 ory (GRITS Lab). Egerstedt is a Fellow of the IEEE\, and a recipient of th
 e ECE/GT Outstanding Junior Faculty Member Award\, the Georgia Tech Teachi
 ng Efficiency Award\, and the U.S. National Science Foundation CAREER Awar
 d.Abstract:\nThe last few years have seen significant progress in our unde
 rstanding of how one should structure multi-robot systems. New control\, c
 oordination\, and communication strategies have emerged and\, in this talk
 \, we summarize some of these developments. In particular\, we will discus
 s how to go from local control rules to global behaviors in a systematic m
 anner in order to achieve distributed geometric objectives\, such as achie
 ving and maintaining formations\, area coverage\, and swarming behaviors. 
 We will also investigate how users can interact with networks of mobile ro
 bots in order to inject new information and objectives. The efficacy of th
 ese interactions depends directly on the interaction dynamics and the stru
 cture of the underlying information-exchange network. We will relate  the
 se network-level characteristics to controllability notions in order to pr
 oduce effective human-swarm interaction strategies.
LOCATION:CM1 106 http://plan.epfl.ch/?zoom=19&recenter_y=5864168.76859&rec
 enter_x=731027.79668&layerNodes=fonds\,batiments\,labels\,information\,par
 kings_publics\,arrets_metro&floor=1&q=CM1_106
STATUS:CONFIRMED
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