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CEC
2007
IEEE
14 years 1 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
APIN
1998
139views more  APIN 1998»
13 years 7 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
14 years 1 months ago
A biologically inspired solution for an evolved simulated agent
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...
Edgar Bermudez Contreras
CEC
2010
IEEE
13 years 8 months ago
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...
IJCNN
2006
IEEE
14 years 1 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...