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» Evolving autonomous agent control in the Xpilot environment
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EVOW
2001
Springer
14 years 1 hour ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi
HICSS
2007
IEEE
181views Biometrics» more  HICSS 2007»
14 years 1 months ago
A Methodology to Evaluate Agent Oriented Software Engineering Techniques
Systems using Software Agents (or Multi-Agent Systems, MAS) are becoming more popular within the development mainstream because, as the name suggests, an Agent aims to handle task...
Chia-En Lin, Krishna M. Kavi, Frederick T. Sheldon...
EVI
2010
94views more  EVI 2010»
13 years 2 months ago
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task
This article presents results from an evaluation of the collective neuro-evolution (CONE) controller design method. CONE solves collective behavior tasks, and increases task perfor...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
AAAI
2011
12 years 7 months ago
Autonomous Skill Acquisition on a Mobile Manipulator
We describe a robot system that autonomously acquires skills through interaction with its environment. The robot learns to sequence the execution of a set of innate controllers to...
George Konidaris, Scott Kuindersma, Roderic A. Gru...
CEC
2009
IEEE
14 years 2 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek