Lecture Notes in Artificial Intelligence

Plan-Based Control of Robotic Agents

Improving the Capabilities of Autonomous Robots

Authors: Beetz, Michael

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About this book

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.

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-3-540-36381-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA
  • ISBN 978-3-540-00335-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Plan-Based Control of Robotic Agents
Book Subtitle
Improving the Capabilities of Autonomous Robots
Authors
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
2554
Copyright
2002
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-36381-1
DOI
10.1007/3-540-36381-5
Softcover ISBN
978-3-540-00335-9
Edition Number
1
Number of Pages
XI, 194
Topics