Evolution of visual resolution constrained by a trade-off
Artificial Life
Biologically-Inspired Visual Landmark Learning for Mobile Robots
EWLR-8 Proceedings of the 8th European Workshop on Learning Robots: Advances in Robot Learning
A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Controlling bipedal movement using optic flow
Optic flow and beyond
Animals Versus Animats: Or Why Not Model the Real Iguana?
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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From the Publisher:Anyone who has tried to swat a fly, watched a kangaroo bounding through dense forest, or marvelled at a falcon swooping to catch a field mouse knows that the animal kingdom has evolved visual systems that are fast, reliable, and precise. This book explores the possibilities of applying principles derived from the study of simple natural systems - such as those possessed by insects - to the design of novel algorithms for vision and new kinds of robots. The various chapters, written by scientists ranging from leading experimental biologists to experts in computer vision, present fresh, multidisciplinary approaches to the construction of machines that 'see'.