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

  • 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

  • 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

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International conference proceedings 【 display / non-display

  • A study of dynamically adjustment for exploitation action using evaluation of achievement

    Masashi Sugimoto, Kentarou Kurashige,2017 International Symposium on Micro-NanoMechatronics and Human Science CD-ROM,(p.352 ~ 356),IEEE,2017.12,Nagoya

  • Self-Generation of reward by human interaction -Adaptation to multmulti by reflecting hope degree for priority-

    Seiya Shirakura, Takuya Masaki, Masaya Ishizuka, Kentarou Kurashige,2017 International Symposium on Micro-NanoMechatronics and Human Science CD-ROM,(p.283 ~ 288),IEEE,2017.12,Nagoya

  • Design of Counseling Robot for production by 3D printer

    Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani,Proceedings of 13th International Conferenceon Signal-ImageTechnology and Internet-Based Systems,(p.56 ~ 62),IEEE,2017.12,Jaipur, India

  • Context Respectful Counseling Agent integrated with Robot nodding for Dialog Promotion

    Kentarou Kurashige and Setsuo Tsuruta and Eriko Sakurai and Yoshitaka Sakurai and Rainer Knauf and Ernesto Damiani,Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics,(p.1540 ~ 1545),IEEE,2017.12,Banff, Canada

  • 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

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

  • Design of Counseling Robot for production by 3D printer

    Kentarou Kurashige, Setsuo Tsuruta, Eriko Sakurai, Yoshitaka Sakurai, Rainer Knauf, Ernesto Damiani,13th International Conferenceon Signal-ImageTechnology and Internet-Based Systems,IEEE,Proceedings of 13th International Conferenceon Signal-ImageTechnology and Internet-Based Systems,(p.56-62),2017.12.04,Jaipur,India

  • A study of dynamically adjustment for exploitation action using evaluation of achievement

    Masashi Sugimoto, Kentarou Kurashige,2017 International Symposium on Micro-NanoMechatronics and Human Science,IEEE,2017 International Symposium on Micro-NanoMechatronics and Human Science CD-ROM,(p.352-356),2017.12.03,nagoya,japan

  • Self-Generation of reward by human interaction -Adaptation to multmulti by reflecting hope degree for priority-

    Seiya Shirakura, Takuya Masaki, Masaya Ishizuka, Kentarou Kurashige,2017 International Symposium on Micro-NanoMechatronics and Human Science,IEEE,2017 International Symposium on Micro-NanoMechatronics and Human Science CD-ROM,(p.283-288),2017.12.03,nagoya,japan

  • Context Respectful Counseling Agent integrated with Robot nodding for Dialog Promotion

    Kentarou Kurashige and Setsuo Tsuruta and Eriko Sakurai and Yoshitaka Sakurai and Rainer Knauf and Ernesto Damiani,2017 IEEE International Conference on Systems, Man, and Cybernetics,Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics,(p.1540-1545),2017.10.05,Banff,Canada

  • 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

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Patent and utility model acquisition 【 display / non-display

  • メンタルケアロボット装置

    日本

 

Class subject in charge 【 display / non-display

  • 情報リテラシー演習

    2018,Department

  • コンピュータ知能学実験

    2018,Department

  • 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

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