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Nakamura Makoto


Motion Path Searches for Maritime Robots

Journal of National Fisheries University Volume 59 Issue 4 Page 245-252
published_at 2011-03
59-4-245-251.pdf
[fulltext] 263 KB
Title
海洋作業ロボットの移動経路探索
Motion Path Searches for Maritime Robots
Creators Morimoto Eiji
Creators Nakamura Makoto
Creators Yamanishi Dai
Creators Osaki Eiki
Source Identifiers [PISSN] 0370-9361
Creator Keywords
Robots Routing Path Search Genetic Algorithms
A method based on genetic algorithms was investigated for its capability to identify efficient paths for maritime robots. Data for determining robot motion from information obtained in map form regarding regions with topographical features or other obstacles in the control volume, such as structures or navigational markers, or dangerous regions containing such features as ocean currents, tidal currents, or wind, which increase energy consumption and travel time, were encoded as genes. The fitness values of the procedure for finding the optimal motion path after evolution of the population were observed. The motion path was divided into a rectilinear array and 120-bit genes containing motion data as bit information were constructed. A criterion for assessing each gene was calculated from the route length and penalty value and used as the fitness value. The optimal solution was then searched for by driving the evolution of the travel-pattern population. This study generated information about the basic characteristics and the effectiveness of the proposed procedure.
Languages eng
Resource Type departmental bulletin paper
Publishers National Fisheries University
Date Issued 2011-03
File Version Version of Record
Access Rights open access
Relations
[ISSN]0370-9361