Evolving dynamical neural networks for adaptive behavior
Adaptive Behavior
Embedded neural networks: exploiting constraints
Neural Networks - Special issue on neural control and robotics: biology and technology
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Active perception: a sensorimotor account of object categorization
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Active categorical perception in an evolved anthropomorphic robotic arm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a process whereby the brain constructs an internal representation of the world. In this paper, we complement previous studies by illustrating the operational principles of an active categorisation process in which a neuro-controlled anthropomorphic robotic arm, equipped with coarse-grained tactile sensors, is required to perceptually categorise spherical and ellipsoid objects.