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J-GLOBAL ID：202201018403415623   Update date: Dec. 08, 2022

Akikawa Motohiro

アキカワ モトヒロ | Akikawa Motohiro
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Affiliation and department：
National Institute of Technology(KOSEN), Kushiro College

About National Institute of Technology(KOSEN), Kushiro College


Job title： Assistant Professor
Research field  (1)： Intelligent robotics
Research keywords  (3)： 遺伝的プログラミング ,  深層学習 ,  人工知能
Research theme for competitive and other funds  (1)：
  • 2022 - 2024 遺伝的プログラミングを用いた学習データ自動取得クローラの開発
Papers (2)：
  • Kazuki Takabatake, Kazuki Izawa, Motohiro Akikawa, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. Improved Large-Scale Homology Search by Two-Step Seed Search Using Multiple Reduced Amino Acid Alphabets. GENES. 2021. 12. 9
  • Motohiro Akikawa, Masayuki Yamamura. Materializing Architecture for Processing Multimodal Signals for a Humanoid Robot Control System. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS. 2021. 25. 3. 335-345
MISC (2)：
  • 高畠和輝, 伊澤和輝, 秋川元宏, 大上雅史, 秋山泰. Improvement of homology search for metagenomic analysis by two-step seed search with reduced amino acid alphabet. 情報処理学会研究報告(Web). 2020. 2020. BIO-61
  • 秋川元宏, 山村雅幸. マルチモダル連想記憶を用いたお友達ロボットの設計. 知能システムシンポジウム資料. 2013. 40th
Lectures and oral presentations  (1)：
  • Learning Reaching Tasks Using an Arm Robot Equipped with MACMSA
    (2021 2nd International Symposium on Automation, Information and Computing (ISAIC 2021) 2021)
Education (3)：
  • 2014 - 2020 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering
  • 2012 - 2014 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering
  • 2008 - 2012 The University of Tokushima Faculty of Engineering Department of Information Science and Intelligent Systems
Work history (2)：
  • 2022/04 - 現在 National Institute of Technology, Kushiro College Department of Creative Engineering Field of Information Engineering
  • 2020/04 - 2022/03 Tokyo Institute of Technology School of Computing
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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