Evolution of Parameters for an Autonomous Canine Control Algorithm

This paper demonstrates an evolutionary algorithm for the optimization of an autonomous control algorithm for a trained canine. Autonomous guidance is relevant because use of canines, though beneficial in many applications, is limited by the necessity of close human supervision. A rules-based expert...

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Bibliographische Detailangaben

Hauptverfasser:	Lyles, W., Britt, W., Bevly, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Canine control Computational modeling Error correction evolutionary algorithms Evolutionary computation Expert systems Global Positioning System Humans Investments Machine learning Machine learning algorithms parameter optimization Sensor phenomena and characterization
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