Artificial Intelligence
Control of selective perception using Bayes nets and decision theory
International Journal of Computer Vision - Special issue on active vision II
Seeing the light: artificial evolution, real vision
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Visual looming as a range sensor for mobile robots
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Embedded neural networks: exploiting constraints
Neural Networks - Special issue on neural control and robotics: biology and technology
Unsupervised learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Adaptability and diversity in simulated turn-taking behavior
Artificial Life
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
An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Fitness functions in evolutionary robotics: A survey and analysis
Robotics and Autonomous Systems
Two-timescale learning using idiotypic behaviour mediation for a navigating mobile robot
Applied Soft Computing
Automatic design of vision-based obstacle avoidance controllers using genetic programming
EA'07 Proceedings of the Evolution artificielle, 8th international conference on Artificial evolution
Adaptive learning application of the MDB evolutionary cognitive architecture in physical agents
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Adaptability and diversity in simulated turn-taking behavior
Artificial Life
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We describe an evolutionary approach to active vision systems for dynamic feature selection. After summarizing recent work on evolution of a simulated active retina for complex shape discrimination, we describe in detail experiments that extend this approach to an all-terrain mobile robot equipped with a mobile camera. We show that evolved robots are capable of selecting simple visual features and actively maintaining them on the same retinal position, which largely simplifies the "recognition" task, in order to generate efficient navigation trajectories with an extremely simple neural control system. Analysis of evolved solutions indicates that robots develop a simple and yet very efficient version of edge detection and visual looming to detect obstacles and move away from them. Two evolved sensory-motor strategies are described, one where the mobile camera is actively used throughout the entire navigation and one where it is used only at the beginning to point towards relevant environmental features. The relationship between these two strategies are discussed in the context of the underlying visuomotor mechanisms and of the evolutionary conditions.