An architecture for autonomous flying vehicles: A preliminary report

  • Lam-Fan Lee
  • Alex Kean
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1114)


This paper presents an architecture for task independent autonomous flying vehicles. First, we review the conventional architectures such as the model-and-planner, behavior-based, and the subsumption architectures. Second, we propose a strategic architecture, an adaptive composition of a set of strategic multiagents, which could overcome many limitations of the existing architectures. Each strategy is designated to deal with a task and the composition of strategies tackle more complex task. The proposed strategic architecture maintains a uniform design for its low level control, high level planning, and multi-robot co-operative system thus facilitating strategies' composition and abstraction. This highly modular organization is hardware independent and increases the reusability of strategies.


Architecture Multi-agent System Planning 


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  1. 1.
    Nelson C. Baker, Douglas C. MacKenzie, and Stephen A Ingalls. Development of an Autonomous Aerial Vehicle: A Case Study. Journal of Applied Intelligence, 2:271–297, 1992.Google Scholar
  2. 2.
    J. Britanik and M. Marefat. Hierarchical Plan Merging with Application to Process Planning. In 14th International Joint Conference on Artificial Intelligence, pages 1677–1683, Montreal, Canada, 1995.Google Scholar
  3. 3.
    Rodney A. Brooks. Intelligence Without Reason. AI Memo No. 1293, Massachusetts Institute of Technology, 1991.Google Scholar
  4. 4.
    Kazuo Iwano, Prabhakar Raghavan, and Hisao Tamaki. The Traveling Cameraman Problem, with Applications to Automatic Optical Inspection (Extended Abstract). In 5th International Symposium on Algorithms and Computation, pages 29–37, Beijing, China, 1994.Google Scholar
  5. 5.
    Joseph L. Jones and Anita M. Flynn. Mobile robots: Inspiration to Implementation. A.K. Peters, Wellesley, Massechusettes, 1993.Google Scholar
  6. 6.
    T. Laengle and T. C. Lueth. Decentralized Control of Distributed Intelligent Robots and Subsystems. In A. Crespo, editor, Artificial Intelligence in Real Time Control, pages 281–286. Pergamon, Oxford, UK, 1994.Google Scholar
  7. 7.
    Lam-Fan Lee. An Architecture for Autonomous Helicopters. Master's thesis, Department of Computer Science, Hong Kong University of Science & Technology, 1996. in preparation.Google Scholar
  8. 8.
    Anthony M. Lewis, Andrew H. Fagg, and George A. Bekey. The USC Autonomous Flying Vehicle: An Experiment in Real-Time Behavior-Based Control. In IEEE International Conference on Robotics and Automation, pages 422–449, Atlanta, Georgia, 1993.Google Scholar
  9. 9.
    Matthew T. Mason. Kicking the Sensing Habit. AI Magazine, 14(1), January 1993.Google Scholar
  10. 10.
    Donald McLean. Automatic Flight Control Yystems. Prentice Hall, New Jeysey, 1990.Google Scholar
  11. 11.
    Jane Mulligan. A Proposed Framework for Characterization of Robotics Systems. Technical Report 92-29, Department of Computer Science, University of British Columbia, 1992.Google Scholar
  12. 12.
    H. Penny Nii. Blackboard Systems. In Avron Barr, Paul R. Cohen, and Edward A. Feigenbaum, editors, The Handbook of Artificial Intelligence, volume 4, pages 1–82. Addison Wesley, 1989.Google Scholar
  13. 13.
    Randall R. Padfield. Learning to Fly Helicopters. TAB Books, Blue Ridge Summit, PA, 1992.Google Scholar
  14. 14.
    Phillip C-Y. Sheu and Q. Xue. Intelligent Robotic Planning Systems. World Scientific Publishing, Singapore, 1993.Google Scholar
  15. 15.
    Richard A. Young. Oh say, can you see? The Physiology of Vision. In SPIE Vol. 1453 Human Vision, Visual Processing, and Digital Display II, pages 92–123, San Jose, California, 1991.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Lam-Fan Lee
    • 1
  • Alex Kean
    • 1
  1. 1.Department of Computer ScienceHong Kong University of Science and TechnologyKowloonHong Kong

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