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• W2126856755 abstract "This research work illustrates the details of a methodologi cal approach to the design of homogeneous neuro-controllers for self-assembly in physical autonomous robots in which no assumptions are made concerning how agents allocate roles. Artificial evolution is used to set the parameters of a dynamical neural network that when ported on two physical robots allows them to coordinate their actions in order to decide who will grip whom. The neural network directly controls the state of all the actuators. To the best of our knowledge, this work is the first example in which physical robots manage to self-assemble without relying on a priori injected morphological or behavioural heterogeneities. The results shed a lig ht on the minimal requirements necessary to achieve self-assembly in autonomous robots." @default.
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• W2126856755 date "2008-08-18" @default.
• W2126856755 modified "2023-09-26" @default.
• W2126856755 title "Self-Assembly in Physical Autonomous Robots: the Evolutionary Robotics Approach" @default.
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