Personnel Information

写真a

Kurashige Kentarou


The master's program in charge

Division of Information and Electronic Engineering

The department in charge

Department of Information and Electronic Engineering

Job title

Associate Professor

E-mail Address

E-mail address

Research field 【 display / non-display

  • Computer Science and Systems Engineering

Keywords for Research Field 【 display / non-display

  • intelligent robot, machine learning, soft computing

Graduate school・Graduate course, etc. 【 display / non-display

  • Nagoya University

    2002.03,Doctoral program,Graduate School, Division of Engineering,マイクロシステム工学専攻,Completed,Japan

Graduate school・major, etc. 【 display / non-display

  • Nagoya University

    1996,Faculty of Engineering,電子機械工学科,Graduate,Japan

Academic prize 【 display / non-display

  • 2016年度精密工学会中国四国支部山口地方学術講演会優秀講演賞

    2016.11.26,公益社団法人精密工学会中国四国支部

 
 

Books 【 display / non-display

  • Machine Learning

    Kentarou Kurashige, Yukiko Onoue, Toshio Fukuda, et. al.,In-Tech,From Automation To Autonomy,(p.450),2009.02

Papers 【 display / non-display

  • Dimensionality Reduction and for State-action and Pair Prediction and based on Tendency and of State and Action

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Hiroyuki Inoue, Manabu Kato, Hitoshi Sori, Shiro Urushihara, Kazunori Hosotani, Hitoshi Yoshimura, Kentarou Kurashige,International Journal of New Computer Architectures and their Applications,vol.7,(1),(p.18 ~ 28),2017.11

  • A Study and of Predicting and Ability in and State-Action Pair and Prediction: and Adaptability to an Almost-Periodic and Disturbance

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,International Journal of Artificial Life Research,vol.7,(1),(p.52 ~ 66),2017.01

  • Adaptability to Periodic Variable Disturbance using Probabilistic State-Action Pair Prediction

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,International Journal of New Computer Architectures and their Applications,vol.6,(4),(p.122 ~ 131),2016.12

  • Decision Making Under Multi Task Based on Priority for Each Task

    Takuya Masaki, Kentarou Kurashige,International Journal of Artificial Life Research,vol.6,(2),(p.88 ~ 97),2016.12

  • Self-Generation of Reward Based on Sensory Irritation Resulted fromInteraction Between a Human and a Robot

    倉重 健太郎, 二階堂 芳,知能と情報(日本知能情報ファジィ学会誌),vol.27,(5),(p.734 ~ 742),2015.11

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International conference proceedings 【 display / non-display

  • The Proposal of Self-Generation of Reward by the Universal Evaluations of Sensor Input from Human -Improvement of the Universal Evaluation with SVR-

    Masaya Ishizuka, Satoshi Ogata, Kentarou Kurashige,The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics,(p.1 ~ 6),2017.11,Beijing, P.R.China

  • Action selection using priority for each task -Realization of effective processing by dynamical update of priority-

    Takuya Masaki, Kentarou Kurashige,Proceedings of 2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology,IEEE,2017.09,Himeji, Hyogo

  • A Study for effectiveness of Dimensionality Reduction for State-action Pair Prediction -Training set reduction using Tendency-

    Masashi Sugimoto, Naoya Iwamoto, Robert Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,Proceedings of the Third International Conference on Electronics and Software Science (ICESS2017),(p.19 ~ 28),2017.08,Takamatsu, Japan

  • Application and Performance Evaluation of a Lifting Device with Alternating Rotation Hoist

    Hanchao Li, Daisuke Harada, Naohiko Hanajima, Hidekazu Kajiwara, Kentaro Kurashige, Yoshinori Fujihira, Masato Mizukami,Proc. of 2016 IEEE/SICE International Symposium on System Integration,(p.385 ~ 390),Article Number:, pp.385-390,December 13-15,2016,Sapporo,Japan,DOI:10.1109/SII.2016.7844029,ISSN:2474-2325,E-ISBN: 9,IEEE,2016.12,Sapporo

  • A STUDY OF EFFECTIVENESS OF DYNAMICALLY VARYING SAMPLING RATE FOR STATE-ACTION PAIR PREDICTION

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,Proceedings of the International Conference on Electronics and Software Science,(p.79 ~ 87),SDIWC,2016.11,Takamatsu, Japan

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Presentaion at conference, meeting, etc. 【 display / non-display

  • 他者の行動結果を規範とした 強化学習における探索率の動的調整に関する検討

    杉本 大志, 倉重 健太郎,第35回日本ロボット学会学術講演会,一般社団法人日本ロボット学会,第35回日本ロボット学会学術講演会講演集,(p.1-4),2017.09.11,埼玉県川越市,日本

  • 反復合議型MARLにおける単体ロボットの意思決定 -協調決定度に基づく行動決定手法の提案-

    櫻庭 康平, 高田 陽, 倉重 健太郎,第35回日本ロボット学会学術講演会,一般社団法人日本ロボット学会,第35回日本ロボット学会学術講演会講演集,(p.1-4),2017.09.11,埼玉県川越市,日本

  • Action selection using priority for each task -Realization of effective processing by dynamical update of priority-

    Takuya Masaki, Kentarou Kurashige,2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology,IEEE,Proceedings of 2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology,2017.09.01,Himeji Hyogo,Japan

  • A Study for effectiveness of Dimensionality Reduction for State-action Pair Prediction -Training set reduction using Tendency-

    Masashi Sugimoto, Naoya Iwamoto, Robert Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,The Third International Conference on Electronics and Software Science (ICESS2017),SDWIC,Proceedings of the Third International Conference on Electronics and Software Science,(p.19-28),2017.08.01,Takamatsu,Japan

  • 経路生成形レギュレータを用いた独立二輪車両のBezier曲線経路追従

    戀塚 立太, 花島 直彦, 水上 雅人, 藤平 祥孝, 倉重 健太郎,日本機械学会ロボティクス・メカトロニクス講演会,一般社団法人 日本機械学会 ロボティクス・メカトロニクス部門,日本機械学会ロボティクス・メカトロニクス講演会予稿集,(p.2A1-F08),2017.05.10,福島県,日本

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Class subject in charge 【 display / non-display

  • 認識と学習応用演習

    2017,Department

  • マルチメディア工学

    2017,Department

  • 情報システム学総合演習

    2017,Department

  • 情報システム学実験

    2017,Department

  • 確率・統計応用演習

    2017,Department

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