Evolving visual sonar: Depth from monocular images
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
3-D Depth Reconstruction from a Single Still Image
International Journal of Computer Vision
Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
How to promote generalisation in evolutionary robotics: the ProGAb approach
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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We present a genetic programming system to design automatically vision based obstacle avoidance algorithms adapted to the current context. We use a simulation environment to evaluate the controllers. By restricting the structure of the algorithms to facilitate the compromise between obstacle avoidance and target reaching, we improve the generalization performance of the algorithms.