Abstract
In this paper we propose a heuristic algorithm for construction an optimal spring network architecture aimed at obtaining desired mechanical behaviour in response to physical input (control) stimuli. The part of the algorithm that searches for a network structure is based on random graph walks. To ensure desired mechanical behaviour of the graph, physical parameters of the spring network are adjusted by an appropriate gradient descent learning algorithm. In addition, we discuss numerical results of the network search procedure.
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