An evolvable hardware chip and its application as a multi-function prosthetic hand controller
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
EWLR-6 Proceedings of the 6th European Workshop on Learning Robots
Promises and Challenges of Evolvable Hardware
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Genetic Algorithm-Based Methodology for Pattern Recognition Hardware
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
Two-Step Incremental Evolution of a Prosthetic Hand Controller Based on Digital Logic Gates
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
A Divide-and-Conquer Approach to Evolvable Hardware
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Scalable Evolvable Hardware Applied to Road Image Recognition
EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
The Input Pattern Order Problem: Evolution of Combinatorial and Sequential Circuits in Hardware
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Hardware evolution of a digital circuit using a custom VLSI architecture
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
| Hi-index | 0.00 |
Evolvable Hardware (EHW) has been proposed as a new method for designing electronic circuits. In this paper it is applied for evolving a prosthetic hand controller. The novel controller architecture is based on digital logic gates. A set of new methods to incrementally evolve the system is described. This includes several different variants of the fitness function being used. By applying the proposed schemes, the generalisation of the system is improved.