Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Appearance-Based Obstacle Detection with Monocular Color Vision
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Active vision and feature selection in evolutionary behavioral systems
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
High speed obstacle avoidance using monocular vision and reinforcement learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Synthesis of interest point detectors through genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolving visual sonar: Depth from monocular images
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Automatic design of vision-based obstacle avoidance controllers using genetic programming
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Fly-inspired visual steering of an ultralight indoor aircraft
IEEE Transactions on Robotics
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
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We present a system that automatically selects and parameterizes a vision based obstacle avoidance method adapted to a given visual context. This system uses genetic programming and a robotic simulation to evaluate the candidate algorithms. As the number of evaluations is restricted, we introduce a novel method using imitation to guide the evolution toward promising solutions. We show that for this problem, our two-phase evolution process performs better than other techniques.