Analysis of unconventional evolved electronics
Communications of the ACM
Evolving Electronic Robot Controller that Exploit Hardware Resources
Proceedings of the Third European Conference on Advances in Artificial Life
Towards the Automatic Design of More Efficient Digital Circuits
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
Evolution in materio: Looking Beyond the Silicon Box
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Real-world applications of analog and digital evolvable hardware
IEEE Transactions on Evolutionary Computation
Parameter optimization of an on-chip voltage reference circuitusing evolutionary programming
IEEE Transactions on Evolutionary Computation
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Organisms exhibit a close structure-function relationship and a slight change in structure may in turn change their outputs accordingly [1]. This feature is important as it is the main reason why organisms have better malleability than computers in dealing with environmental changes. A quadruped chopstick robot controlled by a biologically-motivated neuromolecular model, named Miky, has been developed. Miky's skeleton and its four feet were comprised of 16 deposable chopsticks, with each foot being controlled by an actuator (motor). The neuromolecular model is a multilevel neural network which captures the biological structure-function relationship and serves to transform signals sent from its sensors into a sequence of signals in space and time for controlling Miky's feet (through actuators). The task is to teach Miky to walk, jump, pace, gallop, or make a turn. Our experimental result shows that Miky exhibits a close structure-function relationship that allows it to learn to accomplish these tasks in a continuous manner.