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GECCO
1999
Springer
111views Optimization» more  GECCO 1999»
13 years 8 months ago
Evolving a behavior-based control architecture- From simulations to the real world
Genetic programming makes it possible to automatically search the space of possible programs. First we evolved a behavior-based control architecture using computer simulations. Th...
Marc Ebner, Andreas Zell
EWLR
1999
Springer
13 years 8 months ago
Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
ICRA
2005
IEEE
155views Robotics» more  ICRA 2005»
13 years 10 months ago
Fault-Tolerant Behavior-Based Motion Control for Offroad Navigation
— Many tasks examined for robotic application like rescue missions or humanitarian demining require a robotic vehicle to navigate in unstructured natural terrain. This paper intr...
Martin Proetzsch, Tobias Luksch, Karsten Berns
ROBIO
2006
IEEE
123views Robotics» more  ROBIO 2006»
13 years 10 months ago
Evolutionary Robotics, Anticipation and the Reality Gap
— Evolutionary Robotics provide efficient tools and approach to address automatic design of controllers for automous mobile robots. However, the computational cost of the optimi...
Cédric Hartland, Nicolas Bredeche
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 8 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer