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» Robot control with biological cells
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ICES
2010
Springer
148views Hardware» more  ICES 2010»
13 years 5 months ago
HyperNEAT for Locomotion Control in Modular Robots
Abstract. In an application where autonomous robots can amalgamate spontaneously into arbitrary organisms, the individual robots cannot know a priori at which location in an organi...
Evert Haasdijk, Andrei A. Rusu, A. E. Eiben
TCS
2010
13 years 5 months ago
Detecting synchronisation of biological oscillators by model checking
We define a subclass of timed automata, called oscillator timed automata, suitable to model biological oscillators. Coupled biological oscillators may synchronise, as emerging be...
Ezio Bartocci, Flavio Corradini, Emanuela Merelli,...
RAS
2000
119views more  RAS 2000»
13 years 7 months ago
Benchmarking cerebellar control
Cerebellar models have long been advocated as viable models for robot dynamics control. Building on an increasing insight in and knowledge of the biological cerebellum, many model...
P. Patrick van der Smagt
ICANN
2005
Springer
14 years 27 days ago
Modelling Path Integrator Recalibration Using Hippocampal Place Cells
Abstract. The firing activities of place cells in the rat hippocampus exhibit strong correlations to the animal’s location. External (e.g. visual) as well as internal (proprioce...
Thomas Strösslin, Ricardo Chavarriaga, Denis ...