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DTSTART:20060402T070000
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DTSTART:20061029T060000
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UID:69c232b1bfb50
DTSTART;TZID=America/Toronto:20061215T110000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20061215T110000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-lo
 calization-dynamic-motion-models
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Localization with dynamic motion models
CLASS:PUBLIC
DESCRIPTION:Speaker: Adam Milstein\n\nLocalization is the problem of determ
 ining a s location in an\nenvironment. Monte Carlo Localization (MCL) is a
  method of solving\nthis problem by using a partially observable Markov de
 cision process\nto find the s state based on its sensor readings\, given a
  static map\nof the environment. MCL requires a model of each sensor in or
 der to\nwork properly. One of the most important sensors involved is the\n
 estimation of the s motion\, based on its encoders that report what\nmotio
 n the robot has performed.
DTSTAMP:20260324T064401Z
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