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

Michael Beetz

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.

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[目次]

  • Overview of the Control System.- Plan Representation for Robotic Agents.- Probabilistic Hybrid Action Models.- Learning Structured Reactive Navigation Plans.- Plan-Based Robotic Agents.- Conclusions.

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この本の情報

書名 Plan-based control of robotic agents : improving the capabilities of autonomous robots
著作者等 Beetz Michael
シリーズ名 Lecture notes in computer science
出版元 Springer
刊行年月 c2002
ページ数 xi, 191 p.
大きさ 24 cm
ISBN 3540003355
NCID BA60719567
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言語 英語
出版国 ドイツ
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