Embedded neural networks: exploiting constraints
Neural Networks - Special issue on neural control and robotics: biology and technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
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
GESwarm: grammatical evolution for the automatic synthesis of collective behaviors in swarm robotics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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In this paper we demonstrate how a neuro-robot situated in an environment containing parallelepiped objects that vary in shape, size, and orientation can develop an ability to recognize and label the category of the objects and generalize to new objects. The analysis of the dynamical system constituted by the robot and the environment in interaction allowed us to understand how adapted agents solve the categorization problem at the level of the detailed mechanisms and at the level of the general strategy.