Research on Cognition of a Soft Robot Based on Amorphous Computational Material

Jun Qiang Wang; Shu Qiang Yang; Jing Wu

doi:10.4028/www.scientific.net/AMM.602-605.1177

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on Cognition of a Soft Robot Based on...

Research on Cognition of a Soft Robot Based on Amorphous Computational Material

Abstract:

Amorphous Computational Material (ACM) is a concept of an active material that can sense its environment and, due to its cognitive capabilities, react “intelligently” to those changes. In this paper, We demonstrate the feasibility of utilizing water hammer as a form of directed actuation. We show a novel concept of a Synthetic Neural Network, a type of an organic neuromorphic architecture modeled after Artificial Neural Network, which is used for a distributed cognition purposes for ACM. A simulation of the SNN is shown to accurately predict the directionality of water hammer propulsion.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1177-1180

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1177

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Online since:

August 2014

Authors:

Jun Qiang Wang*, Shu Qiang Yang, Jing Wu

Keywords:

Amorphous Computational Material, Robotic Cognition, Soft Robot, Synthetic Neural Network

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* - Corresponding Author

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