Vision -Based Behavior Learning and Automatic Scene Understanding by an Autonomous Robot
Zhu, Weiyu
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https://hdl.handle.net/2142/80828
Description
Title
Vision -Based Behavior Learning and Automatic Scene Understanding by an Autonomous Robot
Author(s)
Zhu, Weiyu
Issue Date
2003
Doctoral Committee Chair(s)
Levinson, Stephen E.
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Artificial Intelligence
Language
eng
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."
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