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