A novel potential field algorithm and an intelligent multi-classifier for the automated control and guidance system (ACOS)

Thomas Statheros, Gareth Howells, Pierre Lorrentz, Klaus McDonald-Maier

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

The ACOS project seeks to improve and develop novel robot guidance and control systems integrating Novel Potential Field autonomous navigation techniques, multi-classifier design with direct hardware implementation. The project development brings together a number of complementary technologies to form an overall enhanced system. The work is aimed at guidance and collision avoidance control systems for applications in air, land and water based vehicles for passengers and freight. Specifically, the paper addresses the generic nature of the previously presented novel Potential Field Algorithm based on the combination of the associated rule based mathematical algorithm and the concept of potential field. The generic nature of the algorithm allows it to be efficient, not only when applied to multi-autonomous robots, but also when applied to collision avoidance between a single autonomous agent and an obstacle displaying random velocity. In addition, the mathematical complexity, which is inherent when a large number of autonomous vehicles and dynamic obstacles are present, is reduced via the incorporation of an intelligent weightless multi-classifier system which is also presented.

Original languageEnglish
Title of host publicationICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Pages337-342
Number of pages6
Volume1 ICSO
Publication statusPublished - 1 Dec 2009
Externally publishedYes
EventICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics - Milan, Italy
Duration: 2 Jul 20095 Jul 2009
http://www.icinco.org/icinco2009/ws_NESTER.htm

Conference

ConferenceICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics
CountryItaly
CityMilan
Period2/07/095/07/09
Internet address

Keywords

  • Autonomous intelligent guidance
  • Potential field algorithms
  • Weightless neural systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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  • Cite this

    Statheros, T., Howells, G., Lorrentz, P., & McDonald-Maier, K. (2009). A novel potential field algorithm and an intelligent multi-classifier for the automated control and guidance system (ACOS). In ICINCO 2009 - 6th International Conference on Informatics in Control, Automation and Robotics, Proceedings (Vol. 1 ICSO, pp. 337-342)