25 April 2007 Biologically inspired models for swarming
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Proceedings Volume 6563, Evolutionary and Bio-inspired Computation: Theory and Applications; 656302 (2007); doi: 10.1117/12.723687
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States
Abstract
"Understanding" the behavior of a biological system typically means formulating a sensible model, postulating a feedback law (incorporating biologically plausible sensory measurements), and experimentally verifying that the model and feedback law are consistent with nature. This approach is illustrated well in the work of K. Ghose, T. K. Horiuchi, P. S. Krishnaprasad, and C. F. Moss (and colleagues) on insect pursuit by echolocating bats. In work of F. Zhang, E. W. Justh, and P. S. Krishnaprasad, similar modeling principles and feedback laws have also been shown to play an important role in biologically-inspired formation-control and obstacle-avoidance laws. Building on this earlier work, we seek to identify a bio-inspired framework for cooperative swarming, in which the apparently complicated trajectories of individuals are explained by feedback laws which take a relatively simple form. The objectives of such swarming (e.g., for teams of unmanned vehicles) could include rendezvous, target capture (or destruction), and cooperative sensing.
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Eric W. Justh, Vijayanand Kowtha, "Biologically inspired models for swarming", Proc. SPIE 6563, Evolutionary and Bio-inspired Computation: Theory and Applications, 656302 (25 April 2007); doi: 10.1117/12.723687; https://doi.org/10.1117/12.723687
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KEYWORDS
Camouflage

Particles

Sensors

Unmanned vehicles

Global Positioning System

Missiles

Animal model studies

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