Robot Intelligence

An Advanced Knowledge Processing Approach

  • Honghai Liu
  • Dongbing Gu
  • Robert J. Howlett
  • Yonghuai Liu
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Alexander Skoglund, Boyko Iliev, Rainer Palm
    Pages 1-23
  3. Rainer Palm, Boyko Iliev, Bourhane Kadmiry
    Pages 25-47
  4. Xiaofei Ji, Honghai Liu, Yibo Li
    Pages 71-93
  5. Huiyu Zhou, Andrew M. Wallace, Patrick R. Green
    Pages 117-141
  6. Jiandong Tian, Yandong Tang
    Pages 143-167
  7. Yonghuai Liu, Ala Al-Obaidi, Anthony Jakas, Junjie Liu
    Pages 169-190
  8. John Oyekan, Bowen Lu, Bo Li, Dongbing Gu, Huosheng Hu
    Pages 209-228
  9. James Ballantyne, Edward Johns, Salman Valibeik, Charence Wong, Guang-Zhong Yang
    Pages 245-268
  10. Back Matter
    Pages 291-293

About this book

Introduction

Robot Intelligence is an exciting interdisciplinary field including engineering, information technology, machine learning, biological science and psychology. Its dramatic growth in practical applications is driven by both real-world requirements and maturity of related disciplines such as intelligent algorithms. It is expected that perception, understanding and reasoning capabilities play a crucial role in robot-assisted tasks and enable robots to exhibit similar performance on executing various tasks in both constrained and unconstrained environments.

Robot Intelligence is a rare collection of chapters reflecting recent robotics developments from the advanced knowledge processing perspective. It also provides a comprehensive introduction and methodology to selected robotics topics including human robot interaction, human motion analysis, robot vision and advanced control. The robot intelligence methods presented enable readers to address many complex problems involving a wide range of robot sensors for the perception and understanding of the environment and the reasoning of the subsequent actions. The book’s comprehensive coverage will prove invaluable to senior undergraduates, PhD students, researchers and practitioners.

Keywords

artificial intelligence autonom communication genetic programming hidden markov model intelligence knowledge base learning mobile robot navigation programming robot robot vision robotics unmanned aerial vehicle

Editors and affiliations

  • Honghai Liu
    • 1
  • Dongbing Gu
    • 2
  • Robert J. Howlett
    • 3
  • Yonghuai Liu
    • 4
  1. 1.School of Creative TechnologiesThe University of PortsmouthPortsmouthUnited Kingdom
  2. 2.Department of Computer ScienceUniversity of EssexWivenhoe ParkUnited Kingdom
  3. 3., School of EngineeringUniversity of BrightonBrightonUnited Kingdom
  4. 4.Department of Computer ScienceUniversity of WalesAberystwythUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84996-329-9
  • Copyright Information Springer-Verlag London Limited 2010
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84996-328-2
  • Online ISBN 978-1-84996-329-9
  • Series Print ISSN 1610-3947