国際会議Proceedings - 倉重 健太郎
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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年09月,Himeji, Hyogo
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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),(頁 19 ~ 28),2017年08月,Takamatsu, Japan
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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,(頁 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年12月,Sapporo
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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,(頁 79 ~ 87),SDIWC,2016年11月,Takamatsu, Japan
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IoT-aware Context Respectful Counseling Agent
Yukiko Yamamoto, Tetsuo Shinozaki, Setsuo Tsuruta, Kentarou Kurashige, Rainer Knauf,Proceedings of the IEEE International conference on systems,man,and cybernetics,(頁 4729 ~ 4736),IEEE,2016年10月,Budapest, Hungary
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Action Learning to Single Robot Using MARL with Repeated Consultation: Realization of Repeated Consultation Interruption for the Adaptation to Environmental Change
Yoh TAKADA, Kentarou KURASHIGE,Intelligent Robotics and Applications, Proceedings, Part II,(頁 371 ~ 382),Springer International Publishing,2016年08月,Tokyo, Japan
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Action selection using each task priority:Realization of asynchrony action selection and update priorities
Takuya Masaki, Kentarou Kurashige,2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems,(頁 908 ~ 911),IEEE,2016年08月,Sapporo, Hokkaido
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Effective action selection under multi task by ignoring tasks and limiting tasks
Takuya Masaki, Kentarou Kurashige,Proceedings of World Automation Congress 2016,(頁 1 ~ 6),Article Number:1570248406,2016年08月,Puerto Rico
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Nodding Behavioral Context Respectful Counseling Agent
Yukiko Yamamoto, Tetsuo Shinozaki, Setsuo Tsuruta, Kentarou Kurashige, Rainer Knauf,Proceedings of World Automation Congress 2016,(頁 1 ~ 6),Article Number:1570277693,2016年08月,Puerto Rico
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A Study on the Deciding an Action Based on the Future Probabilistic Distribution
Masashi SUGIMOTO, Kentarou KURASHIGE,Intelligent Robotics and Applications, Proceedings, Part II,(頁 383 ~ 394),Springer International Publishing,2016年08月,Tokyo, Japan
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The Proposal for Compensation to the Action of Motion Control based on the Prediction of State-action Pair
Masashi Sugimoto, Kentarou Kurashige,Proceedings of the International Conference on Electronics and SoftwareScience,(頁 35 ~ 84),CD-ROM,2015年07月,Takamatsu, Japan
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Action Learning to single robot using MAS -A proposal of Agents action decision method based repeated consultation-
Shuhei Chiba, Kentarou Kurashige,Proceedings of the 10th Asian Control Conference,IEEE,2015年05月,Kota Kinabalu, Malaysia
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Teaching a series of actions by the universal evaluations of each sensory information
Kentarou Kurashige, Kaoru Nikaido,2015 IEEE Congress on Evolutionary Computation,(頁 2341 ~ 2346),IEEE,2015年05月,Sendai, Japan
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The Proposal for Real-time Sequential-decision for Optimal Action using Flexible-weight Coefficient based on the State-Action Pair
Masashi Sugimoto, Kentarou Kurashige,2015 IEEE Congress on Evolutionary Computation,(頁 544 ~ 551),IEEE,2015年05月,Sendai, Japan
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Self-generation of reward in reinforcement learning by universal rules of interaction with the external environment'
Kentarou Kurashige, Kaoru Nikaido,2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space Proceedings,(頁 92 ~ 97),IEEE,2014年12月,Orlando, Florida, U.S.A.
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Real-time Sequentially Decision for Optimal Action using Prediction of the State-Action Pair
Masashi Sugimoto, Kentarou Kurashige,Proceedings of 2014 International Symposium on Micro-NanoMechatronics and Human Science,(頁 199 ~ 204),IEEE,2014年11月,Nagoya, Japan
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Self-Generation of reward by moderate-based index in reinforcement learning
Kentarou Kurashige, Kaoru Nikaido,The International Workshop on Advanced Computational Intelligence and Intelligent Informatics 2014(IWACIII2014),(頁 IWACIII2014-03 ~ ),2014年02月,Fukui
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Control of exploration and exploitation using information content'
Nodoka Shibuya, Kentarou Kurashige,The Nineteenth International Symposium on Artificial Life and Robotics 2014 (AROB 19th 2014),(頁 48 ~ 51),ISAROB,2014年01月,Beppu
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Self-Generation of Reward by Sensor Input in Reinforcement Learning
Kaoru Nikaido, Kentarou Kurashige,2013 Second International Conference on Robot, Vision and Signal Processing,(頁 270 ~ 273),IEEE,2013年12月,Kitakyushu
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The Proposalfor Deciding Effective Action using Prediction of Internal Robot State Based on Internal State and Action
Masashi Sugimoto, Kentarou Kurashige,Proceedings of 2013 International Symposium on Micro-NanoMechatronics and Human Science,(頁 221 ~ 226),2013年11月,Nagoya
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The Proposal for Prediction of Internal Robot State Based on Internal State and Action
Masashi Sugimoto, Kentarou Kurashige,Proc. of IWACIII2013 CD-ROM,(頁 SS1-2 ~ ),CD-ROM,2013年10月,Shanghai
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Proposal of learning method which selects objectives based on the state
Hironori Miura, Kentarou Kurashige,Proceedings of 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space at 2013 IEEE Symposium Series on Computational Intelligence(RiiSS at SSCI),(頁 119 ~ 124),CD-ROM,2013年04月,Singapore
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Reduction of state space on reinforcement learning by sensor selection
Yasutaka Kishima, Kentarou Kurashige,Proceedings of 2012 International Symposium on Micro-NanoMechatronics and Human Science(MSH2012&Micro-Nano Global COE),(頁 138 ~ 143),2012年11月,Nagoya, Japan
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Estimate of currentstate based on experience in POMDP for Reinforcement Learning
Yoshiki Miyazaki, Kentarou Kurashige,Proceedings of the seventeenth International Symposium on Artificial Life and Robotics (AROB 17th '12),(頁 1135 ~ 1138),2012年01月,Beppu, Japan
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Reduction of learningspace by making a choice of sensor information
Yasutaka Kishima, Kentarou Kurashige, Toshinobu Numata,Proceedings of the seventeenth International Symposium on Artificial Life and Robotics (AROB 17th '12),(頁 971 ~ 974),2012年01月,Beppu, Japan
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Proposal of method "Motion Space" to express movement of the robot
Naoki Kitayama, Kentarou Kurashige,Proc. of IWACIII2011 CD-ROM,-巻,-号,(頁 GS1-3 ~ ),CD-ROM,2011年11月,Suzhou, China
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Suggestion of Probabilistic Reward-Independent Knowledge for Dynamic Environment in Reinforcement Learning
Nodoka Shibuya, Yoshiki Miyazaki, Kentarou Kurashige,2011 Int. Symp. on Micro-NanoMechatronics and Human Science CD-ROM,-巻,-号,(頁 140 ~ 145),CD-ROM,2011年11月,Nagoya, Japan
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Use of reward - independent knowledge on reinforcementlearning for dynamic environment
Yoshiki Miyazaki and Kentarou Kurashige,Proc. of the International Conference on Advanced Computer Science and Information Systems(ICACSIS 2010) pp.303-309, Bali, 20th - 23rd november2010,(頁 303 ~ 309),2010年11月,Bali, Indonesia
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THE GROWTH OF INDIVIDUAL INTELLIGENCE IN GROUPS OF AGENTS BYAUTONOMOUS SELECTION OF OTHERS TO COMMUNICATE TO
Yasutaka Kishima, Kentarou Kurashige,WAC 2010,-巻,-号,(頁 IFMIP-545 ~ ),CD-ROM,2010年09月,Kobe, Japan
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Use of the knowledge which is independence on reward in Reinforcement Learning
Yoshiki Miyazaki, Kentarou Kurashige,Proc. of International Symposium on Computational Intelligence in Robotics and Automation (CD-ROM),(頁 114 ~ 119),CD-ROM,2009年12月,Daejeon, Korea
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Growth ofindividual intelligence using communication
Yasutaka Kishima, Kentarou Kurashige,SCIS&ISIS 2008(CD-ROM),-巻,-号,(頁 287 ~ 292),CD-ROM,2008年09月,Nagoya
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A RELATIONSHIP BETWEEN ABILITY OF PERCEPTION AND LEARNING EFFICIENCY
Yukiko Onoue,Kentarou Kurashige,WAC 2008 Congress CD-ROM,-巻,-号,(頁 IFMIP-521 ~ ),CD-ROM,2008年09月,Hawaii
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The robot learning by using
Kentarou Kurashige, Yukiko Onoue,Proceedings of International Symposium on Humanized Systems 2007,(頁 1 ~ 4),CD-ROM,2007年09月,Muroran
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A simple rule how to make a reward for learning with human interaction.
Kentarou Kurashige,Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation,(頁 202 ~ 205),2007年,Jacksonville, FLORIDA
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Control program structure of Humanoid Robot
Shigeto Aramaki, Hiroshi Shirouzu, Kentarou Kurashige, Taketoshi Kinoshita,Proc.of Int. Conference of IEEE Industrial Electronics Society,-巻,-号,(頁 1796 ~ 1800),-,2002年11月,-
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Motion planning based on hierarchical knowledge for six legged locomotion robot
K. Kurashige, T. Fukuda, H. Hoshino,Proc. of Int. Conf. on Systems, Man, and Cybernetics,IV巻,-号,(頁 924 ~ 929),-,1999年10月,Tokyo
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Motion planning based on hierarchical knowledge using Genetic Programming
K. Kurashige,T. Fukuda, H. Hoshino,Proc. of Int. Conf. on Robotics and Automation,-巻,-号,(頁 2464 ~ 2469),-,1999年05月,Detroit