A simple, cheap, and robust visual navigation system
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Visual control of altitude and speed in a flying agent
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Spatial representation for navigation in animats
Adaptive Behavior
An autonomous agent navigating with a polarized light compass
Adaptive Behavior
Understanding intelligence
Towards UAV Nap-of-the-Earth Flight Using Optical Flow
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Evolving Vision-Based Flying Robots
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
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In the course of evolutionary history, the visual system has evolved as part of a complete autonomous agent in the service of motor control. Therefore, the synthetic methodology investigates visual skills in the context of tasks a complete agent has to perform in a particular environment using autonomous mobile robots as modeling tools. We present a number of case studies in which certain vision-based behaviors in insects have been modeled with real robots, the snapshot model for landmark navigation, the average landmark vector model (ALV), a model of visual odometry, and the evolution of the morphology of an insect eye. From these case studies we devise a number of principles that characterize the concept of "cheap vision". It is concluded that--if ecological niche and morphology are properly taken into account--in many cases vision becomes much simpler.