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University of Illinois at Urbana-Champaign
Vision -Based Behavior Learning and Automatic Scene Understanding by an Autonomous Robot
Abstract
dc:description"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."
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Electrical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Zhu, Weiyu
- Contributors dc:contributor
-
- Levinson, Stephen E.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3086226
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/80828