著書

  1. Kentarou Kurashige, Yukiko Onoue, Toshio Fukuda, ``From Automation To Autonomy'', Machine Learning edited by Abdelhamid Mellouk, Abdennacer Chebira, Published by In-Tech, pp.39--52, Feb 2009, http://intechweb.org/

投稿論文

  1. 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,``Dimensionality Reduction and for State-action and Pair Prediction and based on Tendency and of State and Action'', International Journal of New Computer Architectures and their Applications(IJNCAA), 7(1), pp.18-28, 2017, issn:2220-9085 (Online), 2412-3587 (Print), DOI:http://dx.doi.org/10.17781/P002286
  2. Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige, ``A Study and of Predicting and Ability in and State-Action Pair and Prediction: and Adaptability to an Almost-Periodic and Disturbance'',International Journal of Artificial Life Research, Vol.7, issue 1, pp.52-66, Jan. 2017, DOI:10.4018/IJALR.2017010104
  3. Takuya Masaki, Kentarou Kurashige, ``Decision Making Under Multi Task Based on Priority for Each Task'',International Journal of Artificial Life Research,Vol.6, No.2, pp.88-97, Dec. 2016, DOI:10.4018/ijalr.2016070105, ISSN:1947-3079,
  4. Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige, ``Adaptability to Periodic Variable Disturbance using Probabilistic State-Action Pair Prediction'', International Journal of New Computer Architectures and their Applications (IJNCAA), Vol. 6, No. 4, pp.122-131, Dec. 2016, DOI:http://dx.doi.org/10.17781/P002215, ISSN: 2220-9085 (Online); ISSN: 2412-3587 (Print),
  5. 倉重 健太郎, 二階堂 芳,``人間とロボットのインタラクションにおける感覚刺激に基づく報酬の自己生成'',知能と情報(日本知能情報ファジィ学会誌), Vol.27, No. 5, pp.734-742, 2015, DOI:http://doi.org/10.3156/jsoft.27.734
  6. Masashi Sugimoto, Kentarou Kurashige, ``Future Motion and Decisions using State-action and Pair Predictions'', International Journal of New Computer Architectures and their Applications, Vol.5, No.2, pp.79-93, Oct. 2015, DOI:http://doi.org/10.17781/P001896, ISSN 2220-9085 (Online), ISSN 2412-3587 (Print)},Online
  7. Masashi SUGIMOTO, Kentarou KURASHIGE, ``A Study of Effective Prediction Methods of the State-Action Pair for Robot Control Using Online SVR'', Journal of Robotics and Mechatronics, Vol.27, No.5, pp.469-479, 2015, Online PDF(Full Textのダウンロードには会員登録(無料)が必要).
  8. Kentarou Kurashige, Karoru Nikaido, ``Self-Generation of Reward by Moderate-Based Index for Senor Inputs'', Journal of Robotics and Mechatronics, Vol.27, No.1, pp.57-63, 2015, Online PDF(Full Textのダウンロードには会員登録(無料)が必要).
  9. Yasutaka Kishima, Kentarou Kurashige, ``Reduction of state space in reinforcement learning by sensor selection'', Artificial Life and Robotics, Vol.18, Issue 1, pp.7-14, 2013, Springer, doi:10.1007/s10015-013-0092-2.
  10. 佐藤和彦,倉重健太郎,寺本渉,岡田吉史,工藤康生,佐賀聡人, ``主体的学習を促す「与えない」演習の実践'', 工学教育,Vol.61,No.3,pp.56-61,2013.
  11. Yasutaka Kishima, Kentarou Kurashige, Toshihisa Kimura, “Decision Making in Reinforcement Learning Using a Modified Learning Space Based on the Importance of Sensors,” Journal of Sensors, vol. 2013, Article ID 141353, 9 pages, 2013. doi:10.1155/2013/141353.
  12. Kentarou Kurashige, Yoshiki Miyazaki, ``Use of the Knowledge of Perceptual State Transition in Reinforcement Learning'', JSCSE, Vol.3 No.2 pp.1-12,Feb 25, 2013, Online PDF.
  13. Kentarou Kurashige, Naoki Kitayama, Masafumi Kiyohashi, ``Proposal of Method “Motion Space” to Express Movement of Robot'', Journal of Advanced Computational Intelligence and Intelligent Informatics(JACIII), Vol.16, No.6, pp. 704-712, September 2012, Online PDF(Full Textのダウンロードには会員登録(無料)が必要).
  14. 佐藤和彦, 倉重健太郎, 岡田吉史, 佐賀聡人,``VRソフトウェア開発環境「仮想現実工房」の構築と問題解決型演習への活用'', 日本教育工学会論文誌, Vol.35, No.4, pp.389-398, 2012.
  15. 佐藤和彦, 倉重健太郎, 岡田吉史, 佐賀聡人, ``学生のやる気を引き出す「見える」ソフトウェア開発演習の実現と評価'', コンピュータ\&エデュケーション, Vol.31, pp.94-99, 2011.
  16. Kentarou Kurashige, Toshio Fukuda, Haruo Hoshino, ``Reusing primitive and acquired motion knowledge for Gait generation of Six-Legged Robot using Genetic Programming'', Journal of Intelligent and Robotic systems, Vol.38, Kluwer Academic Pub., pp.121-134, 2003.
  17. 倉重健太郎, 長谷川泰久, 福田敏男, 星野春夫, ``GPを用いた階層型知識表現によるロボットの行動生成'', 日本ファジィ学会誌, Vol.13, No.6, pp.633-642, 2001.
  18. 倉重健太郎, 長谷川泰久, 福田敏男, 星野春夫, ``NNとEPによる六脚歩行ロボットの行動生成'', 日本ファジィ学会誌, Vol.13, No.2, pp.199-207, 2001.
  19. Kentarou Kurashige, Toshio Fukuda, Haruo Hoshino, ``Motion Planning for Six-Legged Locomotion Robot Based on Hierarchical Knowledge Using Genetic Programming'', Journal of Robotics and Mechatronics, Vol.12, No.4, pp.459-465, 2000. Online PDF(Full Textのダウンロードには会員登録(無料)が必要).
  20. Toshio Fukuda,Yuji Adachi, Hoshino Hoshino, Eiji Muro, Kentarou Kurashige, ``Omnidirectional Walking Mechanism (Redundancy and Trajectory Control)'', JSME International Journal Series C, Vol.40, No.4, pp.694-701, 1997.

国際学会

  1. Masaya Ishizuka, Satoshi Ogata, Kentarou Kurashige,``The Proposal of Self-Generation of Reward by the Universal Evaluations of Sensor Input from Human -Improvement of the Universal Evaluation with SVR-'',The 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2017), pp.1-6, Nov.2-5, 2017, Beijing, P.R.China
  2. Takuya Masaki, Kentarou Kurashige,``Action selection using priority for each task -Realization of effective processing by dynamical update of priority-'', Proceedings of 2017 6th International Conference on Informatics, Electronics and Vision & 2017 7th International Symposium in Computational Medical and Health Technology(ICIEV-ISCMHT),1-3 Sep. 2017, Himeji, Hyogo, Japan, ISBN xplore compliant:978-1-5386-1023-7, ISBN usb:978-1-5386-1021-3, ISBN print:978-1-5386-1022-0
  3. Masashi Sugimoto, Naoya Iwamoto, Robert Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige,``A Study for effectiveness of Dimensionality Reduction for State-action Pair Prediction –Training set reduction using Tendency–'',Proceedings of the Third International Conference on Electronics and Software Science (ICESS2017),pp.19-28, Aug.1-4, 2017, Takamatsu, Japan
  4. Yukiko Yamamoto, Tetsuo Shinozaki, Setsuo Tsuruta, Kentarou Kurashige, Rainer Knauf,``IoT-aware Context Respectful Counseling Agent'',SMC2016,pp.4729-4736, Oct. 9-12, 2016,Budapest, Hungary, DOI:10.1109/SMC.2016.7844978, ISBN: 978-1-5090-1897-0(E),978-1-5090-1898-7(Print),978-1-5090-1819-2(USB)
  5. Hanchao Li, Daisuke Harada, Naohiko Hanajima, Hidekazu Kajiwara, Kentaro Kurashige, Yoshinori Fujihira, Masato Mizukami,``Application and Performance Evaluation of a Lifting Device with Alternating Rotation Hoist'', 2016 IEEE/SICE International Symposium on System Integration(SII2016), pp.385-390,December 13-15,2016,Sapporo,Japan,DOI:10.1109/SII.2016.7844029,ISSN:2474-2325,E-ISBN: 978-1-5090-3329-4,ISBN: 978-1-5090-3330-0
  6. Masashi Sugimoto, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki, Kentarou Kurashige, ``A STUDY OF EFFECTIVENESS OF DYNAMICALLY VARYING SAMPLING RATE FOR STATE-ACTION PAIR PREDICTION'', Proceedings of the International Conference on Electronics and Software Science, pp.79-87, 2016, Takamatsu, Japan, ISBN:978-1-941968-40-6
  7. Takuya Masaki, Kentarou Kurashige,``Action selection using each task priority:Realization of asynchrony action selection and update priorities'', 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems,pp.908-911,Aug. 25-28,2016,Sapporo, Hokkaido, DOI:10.1109/SCIS\&ISIS.2016.39
  8. Yoh TAKADA, Kentarou KURASHIGE,``Action Learning to Single Robot Using MARL with Repeated Consultation: Realization of Repeated Consultation Interruption for the Adaptation to Environmental Change'', Intelligent Robotics and Applications, Proceedings, Part II, 371-382, Aug. 22-24, 2016, Tokyo, Japan, DOI:10.1007/978-3-319-43518-3, ISBN:978-3-319-43518-3, ISSN:1611-3349
  9. Masashi SUGIMOTO, Kentarou KURASHIGE,``A Study on the Deciding an Action Based on the Future Probabilistic Distribution'', Intelligent Robotics and Applications, Proceedings, Part II, 383-394, Aug. 22-24, 2016, Tokyo, Japan, DOI:10.1007/978-3-319-43518-3, ISBN:978-3-319-43518-3, ISSN:1611-3349
  10. Takuya Masaki, Kentarou Kurashige, ``Effective action selection under multi task by ignoring tasks and limiting tasks'', Proceedings of World Automation Congress 2016, ID:1570248406, July 31-August 4, 2016 (Japanese Satellite Session: Aug.6-7), Puerto Rico (Japanese Satellite Session: Himeji, Japan)
  11. Yukiko Yamamoto, Tetsuo Shinozaki, Setsuo Tsuruta, Kentarou Kurashige, Rainer Knauf, ``Nodding Behavioral Context Respectful Counseling Agent'', Proceedings of World Automation Congress 2016, ID:1570277693, July 31-August 4, 2016 (Japanese Satellite Session: Aug.6-7), Puerto Rico (Japanese Satellite Session: Himeji, Japan)
  12. Masashi Sugimoto, Kentarou Kurashige, ``The Proposal for Compensation to the Action of Motion Control based on the Prediction of State-action Pair'', Proceedings of the International Conference on Electronics and Software Science, pp.35-48, 2015, Takamatsu, Japan, ISBN:978-1-941968-17-8
  13. Shuhei Chiba, Kentarou Kurashige, ``Action Learning to single robot using MAS -A proposal of Agents action decision method based repeated consultation-'', Proceedings of the 10th Asian Control Conference(ASCC2015), pp.1570081643, May 31 -June 3, 2015, Kota Kinabalu, Sabah, Malaysia
  14. Masashi Sugimoto, Kentarou Kurashge, ``The Proposal for Real-time Sequential-decision for Optimal Action using Flexible-weight Coefficient based on the State-Action Pair'', 2015 IEEE Congress on Evolutionary Computation (CEC2015), pp.544-551, 25TH-28TH May, 2015, Sendai International Center, Sendai, Japan
  15. Kentarou Kurashige, Kaoru Nikaido, ``Teaching a series of actions by the universal evaluations of each sensory information'', 2015 IEEE Congress on Evolutionary Computation (CEC2015), pp.2341-2346, 25TH-28TH May, 2015, Sendai International Center, Sendai, Japan
  16. Kentarou Kurashige, Kaoru Nikaido, ``Self-generation of reward in reinforcement learning by universal rules of interaction with the external environment'', 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space Proceedings, pp.92-97, Dec. 9-12, 2014, Orlando, Florida, U.S.A.
  17. Masashi Sugimoto, Kentarou Kurashige, ``Real-time Sequentially Decision for Optimal Action using Prediction of the State-Action Pair'', Proceedings of 2014 International Symposium on Micro-NanoMechatronics and Human Science, pp.199-204, Nov.9-12, 2014, Nagoya, Japan
  18. Kentarou Kurashige, Kaoru Nikaido, ``Self-Generation of reward by moderate-based index in reinforcement learning'', The International Workshop on Advanced Computational Intelligence and Intelligent Informatics 2014(IWACIII2014), IWACIII2014-03, Feb. 28 - Mar. 1, 2014, Fukui, Japan
  19. Nodoka Shibuya, Kentarou Kurashige, ``Control of exploration and exploitation using information content'', The Nineteenth International Symposium on Artificial Life and Robotics 2014 (AROB 19th 2014), pp.48-51, Jan. 22-24, 2014, B-Con Plaza, Beppu, Japan
  20. Kaoru Nikaido, Kentarou Kurashige, ``Self-Generation of Reward by Sensor Input in Reinforcement Learning'', 2013 Second International Conference on Robot, Vision and Signal Processing, pp.270-273, Dec. 9-12, 2013, Kitakyushu, Japan, 978-1-4799-3184-2/13,10.1109/RVSP.2013.67
  21. Masashi Sugimoto, Kentarou Kurashige, ``The Proposal for Deciding Effective Action using Prediction of Internal Robot State Based on Internal State and Action'', Proceedings of 2013 International Symposium on Micro-NanoMechatronics and Human Science, pp.221-226, Nov.10-13, 2013, Nagoya, Japan
  22. Masashi Sugimoto, Kentarou Kurashige, ``The Proposal for Prediction of Internal Robot State Based on Internal State and Action'', Proc. of IWACIII2013 CD-ROM, SS1-2, October 18-21, 2013, Shanghai, China
  23. Hironori Miura, Kentarou Kurashige, ``Proposal of learning method which selects objectives based on the state'', 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space at 2013 IEEE Symposium Series on Computational Intelligence(RiiSS at SSCI), pp.119-124, 15-19 April 2013, Singapore
  24. Yasutaka Kishima, Kentarou Kurashige, ``Reduction of state space on reinforcement learning by sensor selection'', Proceedings of 2012 International Symposium on Micro-NanoMechatronics and Human Science(MSH2012 & Micro-Nano Global COE), pp.138-143, Nov. 4-7, 2012, Nagoya, Japan
  25. Yoshiki Miyazaki, Kentarou Kurashige, ``Estimate of current state based on experience in POMDP for Reinforcement Learning'', Proceedings of the seventeenth International Symposium on Artificial Life and Robotics (AROB 17th '12), pp.1135-1138, Jan. 19-21, 2012, B-Con Plaza, Beppu, Oita, JAPAN
  26. Yasutaka Kishima, Kentarou Kurashige, Toshinobu Numata, ``Reduction of learning space by making a choice of sensor information'', Proceedings of the seventeenth International Symposium on Artificial Life and Robotics (AROB 17th '12), pp.971-974, Jan. 19-21, 2012, B-Con Plaza, Beppu, Oita, JAPAN
  27. Naoki Kitayama, Kentarou Kurashige, ``Proposal of method ”Motion Space” to express movement of the robot'', Proc. of IWACIII2011 CD-ROM, GS1-3, November 19-23, 2011, Suzhou, China (Best Presentation Award)
  28. Nodoka Shibuya, Yoshiki Miyazaki, Kentarou Kurashige, ``Suggestion of Probabilistic Reward-Independent Knowledge for Dynamic Environment in Reinforcement Learning'', 2011 Int. Symp. on Micro-NanoMechatronics and Human Science CD-ROM, pp.140-145, November 6-9, 2011, Nagoya, Japan
  29. Yoshiki Miyazaki, Kentarou Kurashige, ``Use of reward - independent knowledge on reinforcement learning for dynamic environment'', Proc. of the International Conference on Advanced Computer Science and Information Systems(ICACSIS 2010) pp.303-309, Bali, Indonesia, 20th - 23rd Nov. 2010
  30. Yasutaka Kishima, Kentarou Kurashige, ``THE GROWTH OF INDIVIDUAL INTELLIGENCE IN GROUPS OF AGENTS BYAUTONOMOUS SELECTION OF OTHERS TO COMMUNICATE TO'', WAC 2010, IFMIP-545(CD-ROM), Kobe, Japan, Sept. 19th - 23, 2010
  31. Yoshiki Miyazaki, Kentarou Kurashige, ``Use of the knowledge which is independence on reward in Reinforcement Learning'', Proc. of International Symposium on Computational Intelligence in Robotics and Automation (CD-ROM), pp.114-119, Daejeon, Korea, December 15-18, 2009
  32. Yukiko Onoue, Kentarou Kurashige, ``A RELATIONSHIP BETWEEN ABILITY OF PERCEPTION AND LEARNING EFFICIENCY'', WAC 2008 Congress CD-ROM, IFMIP-521, Hawaii, USA, Sept. 28th - Oct. 2, 2008
  33. Yasutaka Kishima, Kentarou Kurashige, ``Growth of individual intelligence using communication'', SCIS & ISIS 2008(CD), pp.287-292, Nagoya, Japan, Sept. 17-21, 2008
  34. Kentarou Kurashige, Yukiko Onoue, ``The robot learning by using "sense of pain"'', Proceedings of International Symposium on Humanized Systems 2007, pp.1-4, Muroran, Japan, Sept. 13-15, 2007
  35. Kentarou Kurashige, ``A simple rule how to make a reward for learning with human interaction.'', Proceedings of the 2007 IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp.202-205, Jacksonville, FL, USA, June 20-23, 2007
  36. Shigeto Aramaki, Hiroshi Shirouzu, Kentarou Kurashige, Taketoshi Kinoshita, ``Control program structure of Humanoid Robot'', Proc. of Int. Conference of IEEE Industrial Electronics Society, pp.1796-1800, 2002.11
  37. Kentarou Kurashige, Toshio Fukuda, Haruo Hoshino, ``Motion planning based on hierarchical knowledge for six legged locomotion robot'', Proc. of Int. Conf. on Systems, Man, and Cybernetics (SMC’99) pp.IV-924-IV-929, 1999.10
  38. Kentarou Kurashige,Toshio Fukuda, Haruo Hoshino, ``Motion planning based on hierarchical knowledge using Genetic Programming'', Proc. of Int. Conf. on Robotics and Automation(ICRA’99) pp.2464-2469, 1999.5

国内学会

  1. 杉本 大志 and 倉重 健太郎, ``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'',第35回日本ロボット学会学術講演会講演集,RSJ2017AC3F1-03, 9/11-14, 2017, 埼玉県 東洋大学川越キャンパス
  2. 櫻庭 康平, 高田 陽, 倉重 健太郎, ``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-'',第35回日本ロボット学会学術講演会講演集,RSJ2017AC3F1-02, 9/11-14, 2017, 埼玉県 東洋大学川越キャンパス
  3. 戀塚 立太, 花島 直彦, 水上 雅人, 藤平 長, 倉重 健太郎,``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'',日本機械学会ロボティクス・メカトロニクス講演会講演集(ROBOMECH), 2017.5.10-13, 福島県
  4. 杉本 大志, 倉重 健太郎, ``周期的変化をもつ路面に於ける 状態行動対予測による姿勢安定化についての検討'',2016年度精密工学会山口地方学術講演会講演論文集, pp.9-10, 11月26日, 2016, 山口県大島郡
  5. 郭 光宇, 戀塚 立太, 花島 直彦, 倉重 健太郎, ``畳み込みニューラルネットによるロボットの位置推定'', 第43回知能システムシンポジウム講演論文集, B1-2, 2016, 室蘭市, 2016.3.10-11
  6. 杉本 大志, 倉重 健太郎, ``ロボット制御における状態行動対予測を用いた未来行動決定の検討'',計測自動制御学会 システム・情報部門学術講演会講演集, pp.1181-1185, 函館, 2015.11.18-20
  7. 柾 拓也, 倉重 健太郎, ``複数タスクにおける重要度を用いたロボットの行動学習 -エネルギー・温度を考慮した経路計画-'',計測自動制御学会 システム・情報部門学術講演会講演集, pp.1196-1201, 函館, 2015.11.18-20
  8. 武田 涼大, 花島 直彦, 梶原 秀一, 倉重 健太郎, ``検査ロボットのためのミラーを用いた多視点画像の統合'',計測自動制御学会 システム・情報部門学術講演会講演集, p.1202, 函館, 2015.11.18-20
  9. 杉本大志, 倉重健太郎, ``状態行動対予測を用いたロボット制御における最適な未来行動の決定'', 第33回日本ロボット学会学術講演会, RSJ2015AC3C3-02, 東京, 2015.9.3-5
  10. 小橋遼, 倉重健太郎, ``複数タスクに対するロボットの行動学習 〜重要度に基づく行動決定手法の提案〜'', 第33回日本ロボット学会学術講演会, RSJ2015AC1B1-06, 東京, 2015.9.3-5
  11. 千葉秀平, 倉重健太郎, ``MAS を用いた単体ロボットの行動学習-反復合議に基づくエージェントの意思決定法の提案-'', 第32回日本ロボット学会学術講演会, RSJ2014AC3J2-01, 福岡, 2014.9.4-6
  12. 二階堂芳, 倉重健太郎, ``外界とのインタラクションによる強化学習の報酬の自己生成'', 第32回日本ロボット学会学術講演会, RSJ2014AC3J2-02, 福岡, 2014.9.4-6
  13. 杉本大志, 倉重健太郎, ``内部状態と行動をベースとしたロボットの内部状態予測手法の提案'', 第31回日本ロボット学会学術講演会, RSJ2013AC3I2-04, 東京, 2013.9.4-6
  14. 木島康隆, 倉重健太郎, ``強化学習におけるセンサの重要度に応じた状態空間の構成'', 日本ロボット学会第30回記念学術講演会, RSJ2012AC4F1-7, 札幌, 北海道, 2012.9.17-20
  15. 北山直樹, 倉重健太郎, ``センサ情報に基づく動きの知識化 -時間情報の抽象化による周期運動の実現-'', 日本ロボット学会第30回記念学術講演会, RSJ2012AC4F1-5, 札幌, 北海道, 2012.9.17-20
  16. 高泉昇太郎, 倉重健太郎, ``マルチエージェント強化学習によるシングルロボットの行動学習'', 日本ロボット学会第30回記念学術講演会, RSJ2012AC4F1-6, 札幌, 北海道, 2012.9.17-20
  17. 杉本大志, 倉重健太郎, ``オンラインサポートベクトル回帰におけるリアルタイム予測の検討'', 2011年度精密工学会北海道支部学術講演会, pp.59-60, 函館, 北海道, 2011.9.3
  18. 中南義典, 倉重健太郎, 尾上由希子, ``センサ数の過不足が学習に及ぼす影響について'', 2011年度精密工学会北海道支部学術講演会, pp.67-68, 函館, 北海道, 2011.9.3(優秀プレゼンテーション賞受賞)
  19. 池田憲弘, 倉重健太郎, ``教示における動きの汎化'', HAIシンポジウム2009, 2D-2, 2009.12
  20. 倉重健太郎, ``相対評価を用いた学習方法の提案 -平均と分散を用いた評価-'', 第49回計測自動制御学会, 2006.11
  21. 倉重健太郎, 荒牧重登, 福田敏男, ``モチベーションモデルによる行動計画法の提案'', 第12回インテリジェント・システム・シンポジウム, pp.467-472, 2002.11
  22. 倉重健太郎, 福田敏男, ``モチベーションモデルによる評価の自動生成'', システムインテグレーション部門学術講演会, pp.445-446, 2001.12
  23. 倉重健太郎, 福田敏男, 星野春夫, 小林太, ``階層型知能表現と進化計算手法によるロボットの行動計画'', 第9回インテリジェント・システム・シンポジウム, pp.263-266, 1999.10
  24. 倉重健太郎, 福田敏男, 星野春夫, ``階層型知能表現によるロボットの行動計画'', 第8回インテリジェント・システム・シンポジウム, pp.453-458, 1998.10
  25. 倉重健太郎, 福田敏男, 星野春夫, ``進化的手法によるTask Planning System'', 第7回インテリジェント・システム・シンポジウム, pp.423-426, 1997.11
  26. 福田敏男, 倉重健太郎, 星野春夫, 足達勇治, ``ニューラルネットワークによる6脚歩行移動型ロボットの作業計画の立案'', 第6回建設ロボットシンポジウム, pp.87-92, 1997.7

受賞一覧

  1. 杉本 大志, 倉重 健太郎, ``周期的変化をもつ路面に於ける 状態行動対予測による姿勢安定化についての検討'',2016年度精密工学会山口地方学術講演会講演論文集, pp.9-10, 11月26日, 2016, 山口県大島郡,公益社団法人精密工学会中国四国支部 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
  2. 佐藤和彦, 倉重健太郎, 岡田吉史, 佐賀聡人, ``学生のやる気を引き出す「見える」ソフトウェア開発演習の実現と評価'', コンピュータ&エデュケーション, Vol.31, pp.94-99, 2011, コンピュータ利用教育学会(CIEC) 2012年度論文賞 受賞
  3. 佐藤和彦, 倉重健太郎, 岡田吉史, 佐賀聡人, ``学生のやる気を引き出す「見える」ソフトウェア開発演習の実現と評価'', コンピュータ&エデュケーション, Vol.31, pp.94-99, 2011, 日本工学協会賞 業績賞 受賞
  4. Naoki Kitayama, Kentarou Kurashige, ``Proposal of method ”Motion Space” to express movement of the robot'', Proc. of IWACIII2011 CD-ROM, GS1-3, November 19-23, 2011, Suzhou, China (Best Presentation Award)
  5. 中南義典, 倉重健太郎, 尾上由希子, ``センサ数の過不足が学習に及ぼす影響について'', 2011年度精密工学会北海道支部学術講演会, pp.67-68, 函館, 北海道, 2011.9.3(優秀プレゼンテーション賞受賞)
  6. 尾上由希子,池田憲弘,木島康隆,池田善治,黒滝麗子,AcaDemoS2008 最優秀賞 2008.09.28 室蘭工業大学

その他(研究会・卒業論文関係etc.)