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Title:Vision -Based Behavior Learning and Automatic Scene Understanding by an Autonomous Robot
Author(s):Zhu, Weiyu
Doctoral Committee Chair(s):Levinson, Stephen E.
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Artificial Intelligence
Abstract:In addition to behavior learning, this dissertation initiates a novel research called automatic scene understanding by a robot, in which the robot is taught to learn scene semantics from multiple concept categories via the interactions with its world. A generic model for general-purpose scene understanding is presented, along with a case development for small-sized scene language understanding by a robot. The experimental result shows the effectiveness of the proposed method in solving the so-called "multilabeling" concept classification problems.
Issue Date:2003
Type:Text
Language:English
Description:132 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.
URI:http://hdl.handle.net/2142/80828
Other Identifier(s):(MiAaPQ)AAI3086226
Date Available in IDEALS:2015-09-25
Date Deposited:2003


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