Lecture Notes in Artificial Intelligence

A Hybrid Deliberative Layer for Robotic Agents

Fusing DL Reasoning with HTN Planning in Autonomous Robots

Authors: Hartanto, Ronny

  • Develops algorithms and concepts in DL for automatically generating the planning problem
  • Highlights the need for a deliberative layer in robotics and its role as a planning system of sorts
  • A novel approach for integrating DL reasoning and HTN planning is presented
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About this book

The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent.

In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning.

Table of contents (8 chapters)

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-3-642-22580-2
  • 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 978-3-642-22579-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
A Hybrid Deliberative Layer for Robotic Agents
Book Subtitle
Fusing DL Reasoning with HTN Planning in Autonomous Robots
Authors
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
6798
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-22580-2
DOI
10.1007/978-3-642-22580-2
Softcover ISBN
978-3-642-22579-6
Edition Number
1
Number of Pages
XXII, 215
Topics