国際会議Proceedings - 倉重　健太郎

1. Self-Generation of Reward by Logarithmic Transformation of Multiple Sensor Evaluations

   Yuya Ono and Kentarou Kurashige and Afiqe Anuar Bin Muhammad Nor Hakim and Yuma Sakamoto，Proceedings of AROB-ISBC-SWARM2023，(頁 121 ～ 126)，2023年01月，Beppu

   

2. Proposal of Self-generation of Reward for danger avoidance by disregarding specific situations

   Yuya Ono, Kentaro Kurashige, Afiqe Anuar Bin Muhammad Nor Hakim, Sosuke Kondo, Kodai Fukuzawa，2021 IEEE Symposium Series on Computational Intelligence (SSCI)，(頁 1 ～ 6)，2021年12月，Orlando, FL, USA

   

3. Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot

   Riku Narita, Tatsufumi Matsushima, Kentarou Kurashige，2021 IEEE Symposium Series on Computational Intelligence (SSCI)，(頁 1 ～ 6)，IEEE，2021年12月，Orlando, FL, USA

   

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

   Masashi Sugimoto and Ryunosuke Uchida and Shinji Tsuzuki and Hitoshi Sori and Hiroyuki Inoue and Kentarou Kurashige and Shiro Urushihara，2021 International Symposium on Electrical, Electronics and Information Engineering(ISEEIE2021)，(頁 81 ～ 87)，ACM，2021年02月，Seoul Republic of Korea

   

5. 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, Kentarou Kurashige, Shiro Urushihara，2021 International Symposium on Electrical, Electronics and Information Engineering(ISEEIE2021)，(頁 81 ～ 87)，2021年02月，Seoul Republic of Korea

   

6. An Experimental Study for Development of Multi-Objective Deep Q-Network -In Case of Behavior Algorithm for Resident Tracking Robot System-

   Masashi Sugimoto, Ryunosuke Uchida, Haruka Matsufuji, Shinji Tsuzuki, Hitoshi Yoshimura, Kentarou Kurashige, Mikio Deguchi，Proceedings of the Sixth International Conference on Electronics and Software Science ICESS2020，(頁 7 ～ 16)，2020年12月，Japan

   

7. Autonomous decision making by the self-generated priority under multi-task

   Takuma Kambayashi, Kentarou Kurashige，Proceedings of 2020 IEEE Symposium Series on Computational Intelligence (SSCI)，(頁 1879 ～ 1885)，IEEE，2020年12月，Canberra, Australia

   

8. Self-generation of reward based on sensor value -Improving reward accuracy by associating multiple sensors using Hebb's rule-

   Sosuke Kondo, Kentarou Kurashige，Proceedings of 2020 IEEE Symposium Series on Computational Intelligence (SSCI)，(頁 1886 ～ 1892)，IEEE，2020年12月，Canberra, Australia

   

9. 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年10月，Tokyo

   

10. Proposal of Time-based evaluation for Universal Sensor Evaluation Index in Self-generation of Reward

    Afiqe Anuar bin Muhammad Nor Hakim, Koudai Fukuzawa, Kentaro Kurashige，Proceedings of 2020 IEEE International Conference on Systems, Man, and Cybernetics，(頁 1161 ～ 1166)，IEEE，2020年10月，Toronto, Canada

    

11. 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，(頁 961 ～ 966)，2019年12月，Xiamen, China

    

12. 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，(頁 3440 ～ 3445)，IEEE，2019年10月，Bari, Italy

    

13. 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，(頁 1716 ～ 1722)，IEEE，2018年12月，Miyazaki, Japan

    

14. 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，(頁 133 ～ 138)，IEEE，2018年12月，Nagoya, Japan

    

15. Action selection of robot by human intention estimated with dynamic evaluation criterion

    Yuya Shimoguchi, Seiya Shirakura, Kentarou Kurashige，Proceedings of IEEE Symposium Symposium Series on Computational Intelligence SSCI 2018，(頁 1785 ～ 1792)，IEEE，2018年11月，BENGALURU, INDIA

    

16. 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，(頁 352 ～ 356)，IEEE，2017年12月，Nagoya

    

17. 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，(頁 283 ～ 288)，IEEE，2017年12月，Nagoya

    

18. 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，(頁 56 ～ 62)，IEEE，2017年12月，Jaipur, India

    

19. 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，(頁 1540 ～ 1545)，IEEE，2017年12月，Banff, Canada

    

20. 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，(頁 1 ～ 6)，2017年11月，Beijing, P.R.China