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SUMMARY:Tracking and localisation for speech and robotics - Maurice Fallon
  (MIT)
DTSTART:20100701T154500Z
DTEND:20100701T160500Z
UID:TALK25235@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: The Speech Source Tracking (my PhD work) and Robot
 ic Localisation and Mapping problems (my PostDoc work) have been character
 ized using a very similar probabilistic framework. Nonetheless the techniq
 ues used to solve the problems are strikingly different - as a result of t
 he vastly different input sensor data. The first part of talk concerns spe
 aker localization\, detection and tracking using noisy recordings from low
  cost microphones. The approach taken utilizes Particle Filtering techniqu
 es drawn from the target tracking community. Meanwhile\, robotic mapping i
 s characterised by high-rate\, high-quality ranging sensors on mobile auto
 nomous platforms - in this case a robotic kayak where optimization and adj
 ustment are more pressing issues. Results are presented for the vehicle ex
 ploring in a uncertain natural environment.\n\n*Biography*: Maurice Fallon
  is a Research Scientist with Professor John Leonard's Marine Robotics Gro
 up\, in the Computer Science and Artificial Intelligence Laboratory (CSAIL
 ) at MIT. His current research is mainly concerned with Localization and M
 apping for Autonomous Robotic Systems — particularly in Marine and River
 ine settings.\n\nHe completed his PhD in the Signal Processing Group of th
 e Department of Engineering in Cambridge University and was advised by Sim
 on Godsill. Maurice is originally from Ireland\, with his undergraduate st
 udies at University College Dublin.
LOCATION:Large public lecture room\, Microsoft Research\, Roger Needham Bu
 ilding\, 7 J J Thomson Avenue\, Cambridge CB3 0FB
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