Abstract— There has been much research into the development of robotic controllers in educational, industrial and government research labs, but limited hardware budgets constrain...
Biologically inspired designs can improve the design of artificial agents. In this paper we explain and explore the role of directional light sensors from an Evolutionary Robotic...
This paper extends prior work using Compositional Pattern Producing Networks (CPPNs) as a generative encoding for the purpose of simultaneously evolving robot morphology and contr...
This case study demonstrates how the synthesis and the analysis of minimal recurrent neural robot control provide insights into the exploration of embodiment. By using structural e...
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...