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SUMMARY:Robot Localisation and Mapping - Dr Paul M Newman\, Oxford Univers
 ity
DTSTART:20070201T160000Z
DTEND:20070201T180000Z
UID:TALK5979@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:This tutorial will cover the area of mobile robot localisation
  and mapping. Beginning with the simple cases of Bayesian localisation and
  feature based mapping\, the tutorial will progress to consider the full S
 imultaneous Localisation and Mapping (SLAM) problem. This is in many ways 
 a cornerstone of current and future autonomous mobile systems and has been
  a subject of intense research over the last five years. If we want to sen
 d machines into a-priori unknown settings we need robust\, embedded SLAM -
  something that still eludes us. Both Kalman and sample based approaches w
 ill be covered.  The tutorial will also give time to some major outstandin
 g issues in the area - in particular the loop closing problem (the task of
  deciding if the current local workspace intesects with an already mapped 
 region) and recent work on appearance based methods. 
LOCATION:LR4\, Engineering\, Department of
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