David Brogan
University of Virginia
Complex Adaptive Stuctures, Proceedings of SPIE, 2001.
Abstract
Actuated systems such as robots take many forms and sizes but each requires solving the diącult task of utiliz-
ing available control inputs to accomplish desired system performance. Coordinated groups of robots provide the
opportunity to accomplish more complex tasks, to adapt to changing environmental conditions, and to survive in-
dividual failures. Similarly, groups of simulated robots, represented as graphical characters, can test the design of
experimental scenarios and provide autonomous interactive counterparts for video games. The complexity of writing
control algorithms for these groups currently hinders their use. A combination of biologically inspired heuristics,
search strategies, and optimization techniques serve to reduce the complexity of controlling these real and simulated
characters and to provide computationally feasible solutions.
Paper
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