Design of a reconfigurable humanoid robot
RA '07 Proceedings of the 13th IASTED International Conference on Robotics and Applications
Hardware implementation of a genetic controller and effects of training on evolution
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Implementation of a neuro-fuzzy network with on-chip learning and its applications
Expert Systems with Applications: An International Journal
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This article describes an alternative hardware solution to be implemented on FPGAs (Field Programmable Gate Array) for collision free robot navigation. A RAM based Artificial Neural Network (ANN) was considered as the heart of the controller due to the advantage of its easeimplementation in conventional hardware. The structure of the ANN was well suited to realize the experiments for evolutionary robotics (ER). The hardware implementation gives massive parallelism of neural networks and the FPGA allows fast IC prototyping and low cost modifications.