The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2014
Session ID : 1A1-K06
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1A1-K06 Characterizing the Twist of Seaweeds for Controlling the Water Flow(Evolution and Learning for Robotics)
Jun OGAWAHiroyuki IIZUKAMasahito YAMAMOTOMasashi FURUKAWA
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Abstract
Twist of seaweeds is one of the physical problems that disturb the growth of the seaweeds in the marine biomass cultivation. This study aims to evaluate the twist of seaweeds in a quantitative way. There is no computational model to simulate dynamics of the twist of seaweeds. In this study, we create the physical model of the seaweeds using physics simulation and the states between seaweed individuals are characterized with feature vectors, which is composed the physical, geometrical, and time factors. The measure of twist can be defined as the number of features and classifies a state between individuals into "twist state" or "non-twist state".
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© 2014 The Japan Society of Mechanical Engineers
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