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Computer Science Faculty Publications

2008

Predator

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Evolving Predator Control Programs For A Hexapod Robot Pursuing A Prey, Gary Parker, Basar Gulcu Sep 2008

Evolving Predator Control Programs For A Hexapod Robot Pursuing A Prey, Gary Parker, Basar Gulcu

Computer Science Faculty Publications

Control program learning systems for autonomous robots are important to assist in their development and to allow them to adapt to changes in their capabilities and/or the environment. A common method for learning in robotics is Evolutionary Computation (EC) and a good problem to demonstrate the effectiveness of a learning system is the predator/prey problem. In previous research, we used a Cyclic Genetic Algorithm (CGA), a form of EC, to evolve the control program for a predator robot with a simple sensor configuration of 4 binary sensors, which yielded 16 possible sensor states. In this paper, we present the use …