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PRODID:-//Cornell U. Department of Computer Science//Brown Bag Seminar//EN
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SUMMARY:Brown bag: Ross Knepper
DESCRIPTION:Title: Inverting Human Understanding Models in
	 Context\nSpeaker: Ross Knepper\nAbstract: Robots behave according to the
	 sense-plan-act loop\, in which complex programs react to the content of
	 sensor inputs.  The planning process can be thought of as one of
	 inverting various predictive models of physics\, uncertainty\, and
	 unobservable state.  Although robots have long reacted to humans\, they
	 largely fail to consider the way their functional actions will be
	 perceived socially by humans\, who tend to infer meaning in every
	 action.  Consequently\, robots inadvertently send a lot of random social
	 signals to humans.  In this talk\, I describe recent research into how
	 humans perceive robots\, how robots can model human understanding\, and
	 how robots must invert those models -- along with all the others -- to
	 plan and act effectively on a team with humans.
LOCATION:Gates 122
UID:2015-10-20
STATUS:CONFIRMED
DTSTART:20151020T160000Z
DTEND:20151020T170000Z
LAST-MODIFIED:20151019T003852Z
ORGANIZER;CN=Jonathan Shi:http://www.cs.cornell.edu/~jshi/brownbag/
DTSTAMP:20260408T172457Z
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