@inproceedings{oai:kyutech.repo.nii.ac.jp:00001515,
 author = {西田, 周平 and Ishii, Kazuo and 石井, 和男 and Furukawa, Tetsuo and 古川, 徹生},
 book = {第24回日本ロボット学会学術講演会講演論文集},
 month = {Sep},
 note = {Autonomous Underwater Vehicles(AUVs) are attractive tools for maintenance of underwater structures and oceanography. However, there are a lot of problems to be solved. We have been investigated the application of brain-inspired technolofies into AUVs. The motion of AUV is represented by complicated non-linear dynamics in six degrees of freedom with added-mass and hydrodynamic forces, and control systems should be adaptive and robust. In this paper, a new self-Organizing cotroller system for AUVs using modular network Self-Organizing Map(mnSOM) proposed by Tokunaga et al. is discussed. The efficiency of the system is investigated through the simulations., 第24回日本ロボット学会学術講演会，2006年9月14日，岡山大学，日本},
 publisher = {日本ロボット学会},
 title = {モジュラーネットワーク型自己組織化マップを用いた水中ロボットの運動制御システム},
 year = {2006},
 yomi = {イシイ, カズオ and フルカワ, テツオ}
}