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  1. 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)
  2. 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)
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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)
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. Yasutaka Kishima, Kentarou Kurashige, ``Growth of individual intelligence using communication'', SCIS & ISIS 2008(CD), pp.287-292, Nagoya, Japan, Sept. 17-21, 2008
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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