We introduce a detailed numerical simulation and analysis framework to extend the principles of passive dynamic walking to quadrupedal locomotion. Non-linear limit cycle methods a...
C. David Remy, Keith W. Buffinton, Roland Siegwart
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Abstract. In recent years simulation tools for agent-environment interactions have included increasingly complex and physically realistic conditions. These simulations pose challen...
– We describe in detail the behavior of an inhibitory Central Pattern Generator (CPG) network for robot control. A four-neuron, mutual inhibitory network forms the basic coordina...
M. Anthony Lewis, Francesco Tenore, Ralph Etienne-...