Towards a Generalised Hybrid Path-Planning and Motion Control System with Auto-calibration for Animated Characters in 3D Environments
- Cite this paper as:
- Gerdelan A.P., Reyes N.H. (2009) Towards a Generalised Hybrid Path-Planning and Motion Control System with Auto-calibration for Animated Characters in 3D Environments. In: Köppen M., Kasabov N., Coghill G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg
Intelligent navigation and path-finding for computer- animated characters in graphical 3D environments is a major design challenge facing programmers of simulations, games, and cinematic productions. Designing agents for computer-animated characters that are required to both move intelligently around obstacles in the environment, and do so in a psycho-visually realistic way with smooth motion is often a too-difficult challenge - designers generally sacrifice intelligent navigation for realistic movement or vice-versa. We present here a specially adapted hybrid fuzzy A* algorithm as a viable solution to meet both of these challenges simultaneously. We discuss the application of this algorithm to animated characters and outline our proposed architecture for automatic tuning of this system.
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