Plan-based control of robotic agents : improving the capabilities of autonomous robots /

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Bibliographic Details
Author / Creator:	Beetz, Michael, 1961-
Imprint:	Berlin ; New York : Springer, ©2002.
Description:	1 online resource (xi, 191 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science ; 2554. Lecture notes in artificial intelligence Lecture notes in computer science ; 2554. Lecture notes in computer science. Lecture notes in artificial intelligence.
Subject:	Robots -- Control systems. Autonomous robots. Intelligent agents (Computer software) Intelligent control systems. Autonomous robots. Intelligent agents (Computer software) Intelligent control systems. Robots -- Control systems.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11066107

Hidden Bibliographic Details
ISBN:	9783540363811 3540363815 3540003355 9783540003359
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references (pages 181-191). English.
Summary:	Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities. This book makes three major contributions to improving the capabilities of robotic agents: - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior - second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.
Other form:	Print version:Beetz, Michael, 1961- Plan-based control of robotic agents : improving the capabilities of autonomous robots
Standard no.:	10.1007/3-540-36381-5

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