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 Sciences and Informatics

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

Degree 【 display / non-display

  • Doctor of Engineering

    知能ロボットの行動計画手法に関する研究

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

  • Embodiment matters: toward culture-specific robotized counselling

    Eriko Sakurai, Kentarou Kurashige Setsuo Tsuruta Yoshitaka Sakurai Rainer Knauf, Ernesto Damiani, Andrea Kutics, Fulvio Frati,Journal of Reliable Intelligent Environments,2020.06

  • Development of Lifting System for High-Elevation Inspection Robot Targeting Hanger Ropes

    Yoshinori Fujihira, Naohiko Hanajima, Kentarou Kurashige, Hidekazu Kajiwara, Masato Mizukami,Journal of Robotics and Mechatronics,vol.31,(6),(p.803 ~ 815),2019.12

  • Development of Hanger-Rope Inspection Robot for Suspension Bridges

    Hidekazu Kajiwara, Naohiko Hanajima, Kentarou Kurashige, Yoshinori Fujihira,Journal of Robotics and Mechatronics,vol.31,(6),(p.855 ~ 862),2019.12

  • A Study and for Improvement and for Reinforcement and Learning based on Knowledge and Sharing Method -ADAPTABILITY TO A SITUATION OF INTERMINGLED OF COMPLETE AND INCOMPLETE PERCEPTION UNDER AN MAZE-

    Masashi SUGIMOTO, Hiroya YASHIRO, Kazuma NISHIMURA, Shinji TSUZUKI, Kentarou KURASHIGE,International Journal of New Computer Architectures and their Applications,vol.9,(2),(p.60 ~ 67),2019.06

  • Rough Control of Underactuated Serial-type Double Inverted Pendulum Using State-action Pair Prediction

    Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,IEEJ Transactions on Electronics, Information and Systems,vol.137,(12),(p.1617 ~ 1624),2017.12

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International conference proceedings 【 display / non-display

  • An Experimental Study for Tracking Ability of Deep Q-Network under the Multi-Objective Behaviour using a Mobile Robot with LiDAR

    Masashi Sugimoto, Ryunosuke Uchida, Shinji Tsuzuki, Hitoshi Sori, Hiroyuki Inoue, Kentaro Kurashige, Shiro Urushihara,Proceedings of 2020 International Conference on Big data, IoT, and Cloud Computing,2020.10,Tokyo

  • Robotized Counselor and Evaluation using Linguistic and Detection of Feeling and Polarity Change

    Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani, Andrea Kutics,Proceedings of 2019 IEEE Symposium Series on Computational Intelligence,(p.961 ~ 966),2019.12,Xiamen, China

  • Decision making on robot with multi-task using deep reinforcement learning for each task

    Yuya Shimoguchi, Kentarou Kurashige,Proceedings of 2019 IEEE International Conference on Systems, Man and Cybernetics,(p.3440 ~ 3445),IEEE,2019.10,Bari, Italy

  • Counseling Robot Implementation and Evaluation

    Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani, Andrea Kutics,Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics,(p.1716 ~ 1722),IEEE,2018.12,Miyazaki, Japan

  • Self-Generation of Reward by Inputs from Multi Sensors -Integration of Evaluations for Inputs to Avoid Danger-

    Masaya Ishizuka, Kentaro Kurashige,2018 International Symposium on Micro-NanoMechatronics and Human Science,(p.133 ~ 138),IEEE,2018.12,Nagoya, Japan

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

  • Scilab/Xcosを用いたモデルベースシミュレーション

    枡見 健吾, 杉本 大志, 都築 伸二, 吉村 斎, 倉重 健太郎,第38回日本ロボット学会学術講演会,第38回日本ロボット学会学術講演会講演集,2020.10.09

  • DQNを搭載した農作業用汎用移動クローラにおける ゴール追従問題に関する一考察

    杉本 大志, 内田 龍之介, 都築 伸二, 曽利 仁, 井上 浩行, 倉重 健太郎, 吉村 斎, 漆原 史朗,第38回日本ロボット学会学術講演会,第38回日本ロボット学会学術講演会講演集,2020.10.09

  • LiDARで作成した屋内地図に深層強化学習を適用する方法 —LiDAR搭載の移動ロボットを用いた検証実験—

    内田 龍之介, 杉本 大志, 都築 伸二, 倉重 健太郎, 吉村 斎, 野中摂護,第38回日本ロボット学会学術講演会,第38回日本ロボット学会学術講演会講演集,2020.10.09

  • 単体ロボットにおけるヘテロジニアスMARLを用いた行動学習 -学習進度に基づく確率的なエージェント選択による効率的探索の実現-

    松嶋 龍文, 倉重 健太郎,第38回日本ロボット学会学術講演会,第38回日本ロボット学会学術講演会講演集,2020.10.09

  • センサ評価の統合による報酬の自己生成 -センサの順位付けによる評価センサの限定-

    福澤 航大, 倉重 健太郎,第38回日本ロボット学会学術講演会,第38回日本ロボット学会学術講演会講演集,2020.10.09

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Class subject in charge 【 display / non-display

  • データサイエンス入門(Aクラス)

    2020,Department

  • マルチメディア工学

    2020,Department

  • データサイエンス入門(Bクラス)

    2020,Department

  • データサイエンス入門(Dクラス)

    2020,Department

  • データサイエンス入門(Cクラス)

    2020,Department

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