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FLAIRS
2006
13 years 8 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi
AUTOMATICA
2008
152views more  AUTOMATICA 2008»
13 years 7 months ago
A design methodology for switched discrete time linear systems with applications to automotive roll dynamics control
In this paper we consider the asymptotic stability of a class of discrete-time switching linear systems, where each of the constituent subsystems is Schur stable. We first present...
Selim Solmaz, Robert Shorten, Kai Wulff, Fiacre &O...
RAS
2006
91views more  RAS 2006»
13 years 7 months ago
Visual navigation and obstacle avoidance using a steering potential function
Humans have a remarkable ability to navigate using only vision, but mobile robots have not been nearly as successful. We propose a new approach to vision-guided local navigation, ...
Wesley H. Huang, Brett R. Fajen, Jonathan R. Fink,...
GECCO
2010
Springer
167views Optimization» more  GECCO 2010»
14 years 6 days ago
Evolving CPPNs to grow three-dimensional physical structures
The majority of work in the field of evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there ...
Joshua E. Auerbach, Josh C. Bongard
CDC
2009
IEEE
133views Control Systems» more  CDC 2009»
14 years 3 days ago
Equilibrium species counts and migration model tradeoffs for biogeography-based optimization
—Motivated by the migration mechanisms of ecosystems, various extensions to biogeography-based optimization (BBO) are proposed. BBO is an original optimization method based on th...
Haiping Ma, Suhong Ni, Man Sun