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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
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DTSTART:20131027T030000
TZOFFSETFROM:+0200
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DTSTART:20140330T020000
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UID:calendar.6822.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260412T022352Z
CREATED:20140307T115249Z
DESCRIPTION:It's ironic that machines today are able to excel at seemingly 
 complexgames such as chess and Jeopardy\, yet struggle with basic perceptu
 aland motor tasks that we take for granted.  What are the appropriateperce
 ptual\, world and motor representations needed to generate robustbehaviors
  in real-time?  A variety of algorithms use low-dimensionaldynamical model
 s to simplify information in high-dimensionaltrajectories.  I will present
  some recent work on learninglow-dimensional reductions\, and show example
 s of how thesealgorithms can be implemented on humanoid robots.
DTSTART;TZID=Europe/Paris:20140311T120000
DTEND;TZID=Europe/Paris:20140311T120000
LAST-MODIFIED:20140310T113041Z
LOCATION:DIAG Aula Magna
SUMMARY:Perception\, Planning\, and Motor Control in Machines vs. Animals -
  Prof. Daniel Lee
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/6822
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