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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Optimal control and motion planning of an autonomous guided vehicl
 e (AGV) in warehouse environment.
DTSTART:20151029T101500
DTEND:20151029T111500
DTSTAMP:20260503T003040Z
UID:0b0656e323a7f837f32a7288c9bbad1951344813d7a5b7a9fbfd6539
CATEGORIES:Conferences - Seminars
DESCRIPTION:Peter Listov\nAbstract:\nAccurate and robust cargo capturing r
 emains a challenging issue in intelligent warehouse logistics. In this wor
 k a nonlinear model predictive controller is presented for the set point s
 tabilization problem of a constrained AGV.  Some implementation notes as 
 well as numerical simulations and prototype experiments are given. Also a 
 smooth trajectory planning method is briefly considered.Bio:\nPeter Listov
  received the Master's degree in automatic control system engineering for 
 flying vehicles from the Bauman Moscow State Technical University in 2012.
 \nFrom August 2012 to October 2013\, he worked as a Junior Researcher at R
 oboCV where he was responsible for development of path planning and trajec
 tory tracking algorithms. He is currently a Lead Research Programmer and a
  team leader of the "Motion Control" group that works on optimal motion pl
 anning and control for constrained autonomous guided vehicle.  His resear
 ch interests include nonlinear system analysis\, nonlinear model predictiv
 e control and stochastic estimation.
LOCATION:ME C2 405 http://plan.epfl.ch/?zoom=20&recenter_y=5864084.17342&r
 ecenter_x=730960.62257&layerNodes=fonds\,batiments\,labels\,information\,p
 arkings_publics\,arrets_metro\,transports_publics&floor=2&q=me_c2%20405
STATUS:CONFIRMED
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