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» Evolved Neurodynamics for Robot Control
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GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
14 years 27 days ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
IJON
2006
127views more  IJON 2006»
13 years 11 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
SAB
2010
Springer
147views Optimization» more  SAB 2010»
13 years 9 months ago
Fractal Gene Regulatory Networks for Robust Locomotion Control of Modular Robots
Designing controllers for modular robots is difficult due to the distributed and dynamic nature of the robots. In this paper fractal gene regulatory networks are evolved to control...
Payam Zahadat, David Johan Christensen, Ulrik Pagh...
ALIFE
2010
13 years 10 months ago
The Utility of Evolving Simulated Robot Morphology Increases with Task Complexity for Object Manipulation
Embodied artificial intelligence argues that the body and brain play equally important roles in the generation of adaptive behavior. An increasingly common approach therefore is to...
Josh Bongard
ICES
2003
Springer
125views Hardware» more  ICES 2003»
14 years 4 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel