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Plan-Based Control of Robotic Agents

  • Kartonierter Einband
  • 208 Seiten
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Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to fl... Weiterlesen
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Beschreibung

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.



Includes supplementary material: sn.pub/extras



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

Produktinformationen

Titel: Plan-Based Control of Robotic Agents
Untertitel: Improving the Capabilities of Autonomous Robots
Autor:
EAN: 9783540003359
ISBN: 3540003355
Format: Kartonierter Einband
Herausgeber: Springer Berlin Heidelberg
Genre: Informatik
Anzahl Seiten: 208
Gewicht: 324g
Größe: H235mm x B155mm x T11mm
Jahr: 2002
Untertitel: Englisch
Auflage: 2002

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