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Evolving spiking neural network controllers for autonomous robots
2004
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004
In this paper we introduce a novel mechanism for controlling autonomous mobile robots that is based on using Spiking Neural Networks (SNNs). SNNs are inspired by biological neurons that communicate using pulses or spikes. As SNNs have shown to be excellent control systems for biological organisms, they have the potential to produce good control systems for autonomous robots. In this paper we present the use and benefits of SNNs for mobile robot control. We also present an adaptive Genetic
doi:10.1109/robot.2004.1302446
dblp:conf/icra/HagrasPCCC04
fatcat:ug6kzk7w7zgqhphsrsvcmfjty4