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A Behavioural control framework for computer animation using AI techniques

  • Session CG2b — Simulation & Animation
  • Conference paper
  • First Online:
Image Analysis Applications and Computer Graphics (ICSC 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1024))

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Abstract

This paper proposes a framework for controlling the behaviour of simulated robots through high-level instructions. We assume that each robot is not only capable of performing autonomous and complex movements, but also capable of interacting with each other by performing actions and reacting accordingly to the changes of the environment. These instructions are originated from the animator's scripts and may also be an autonomous response to the interactions between the animated agents. The assumption that instructions have adaptive planning of behaviours composed by sub-instructions permit us to build increasingly complex instructions to be built. The system exploits AI techniques including frame, blackboard, planning, and rules.

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Author information

Authors and Affiliations

  1. Centre for VLSI & Computer Graphics, University of Sussex, BN1 9QT, Falmer, Brighton, Sussex, England

    Carlos S. N. Ho & Richard L. Grimsdale

Authors
  1. Carlos S. N. Ho
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  2. Richard L. Grimsdale
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Editor information

Roland T. Chin Horace H. S. Ip Avi C. Naiman Ting-Chuen Pong

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© 1995 Springer-Verlag Berlin Heidelberg

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Ho, C.S.N., Grimsdale, R.L. (1995). A Behavioural control framework for computer animation using AI techniques. In: Chin, R.T., Ip, H.H.S., Naiman, A.C., Pong, TC. (eds) Image Analysis Applications and Computer Graphics. ICSC 1995. Lecture Notes in Computer Science, vol 1024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60697-1_125

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  • DOI: https://doi.org/10.1007/3-540-60697-1_125

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60697-0

  • Online ISBN: 978-3-540-49298-6

  • eBook Packages: Springer Book Archive

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