{"id":1891,"date":"2017-01-25T10:53:18","date_gmt":"2017-01-25T01:53:18","guid":{"rendered":"http:\/\/www.ipc.tohoku-gakuin.ac.jp\/ailab\/wordpress\/?page_id=5"},"modified":"2026-04-09T14:45:02","modified_gmt":"2026-04-09T05:45:02","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.ipc.tohoku-gakuin.ac.jp\/ailab\/?page_id=1891","title":{"rendered":"Publications"},"content":{"rendered":"
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\u539f\u8457\u8ad6\u6587 (Full papers)<\/strong><\/a><\/span><\/h2>\n
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  1. \u718a\u5009\u51dc\u5357, \u90f7\u53e4 \u5b66, “\u5f01\u5f53\u306e\u304a\u304b\u305a\u914d\u7f6e\u306e\u55dc\u597d\u3068\u8996\u7dda\u60c5\u5831\u306e\u95a2\u9023\u6027<\/span>,” \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. 67, No. 1, 140-149, 2026.<\/span><\/li>\n
  2. Manabu Gouko, “Autonomous Learning of Exploratory Behavior for Environmental Modeling in Mobile Robots,” International Journal of Intelligent Robotics and Applications, Vol. 9, Issue 2, 2025, DOI : https:\/\/doi.org\/10.1007\/s41315-025-00491-x.<\/span><\/li>\n
  3. \u90f7\u53e4 \u5b66, “\u30c6\u30ad\u30b9\u30c8\u30de\u30a4\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u673a\u4e0a\u306e\u7247\u4ed8\u3051\u306e<\/span>\u77e5\u899a\u8981\u56e0\u306e\u89e3\u660e,” \u65e5\u672c\u5bb6\u653f\u5b66\u4f1a\u8a8c, Vol. 76, No. 5, \u00a0pp. 209-217, 2025.<\/span><\/li>\n
  4. \u90f7\u53e4 \u5b66, “\u673a\u4e0a\u306e\u7a7a\u304d\u30b9\u30da\u30fc\u30b9\u306e\u5927\u304d\u3055\u3068\u914d\u7f6e\u304c\u7247\u4ed8\u3051\u306e\u77e5\u899a\u306b\u4e0e\u3048\u308b\u5f71\u97ff,” \u65e5\u672c\u5bb6\u653f\u5b66\u4f1a\u8a8c, Vol. 73, No. 8, \u00a0pp. 525-534, 2022.<\/span><\/li>\n
  5. Akihiro Ogasawara and Manabu Gouko, “Determining the Most Effective Way of Ensuring a Tidying-Up Behavior: Comparison of Effects of Reminders Using Oral Instruction, Posters, and Robots,” Journal of Advanced Computational Intelligence and Intelligent Informatics. vol. 24, no. 4, pp. 543-548, 2020.<\/span><\/li>\n
  6. Chyon Hae Kim, Kanta Watanabe, Shun Nishide and Manabu Gouko, “Between Exploration and Exploitation in Motor Babbling,” International Journal of Control, Automation, and Systems. vol. 16, issue 4, pp. 1840-1853, 2018, DOI : https:\/\/doi.org\/10.1007\/s12555-017-0406-6.<\/span><\/li>\n
  7. \u90f7\u53e4 \u5b66, \u91d1 \u5929\u6d77, “\u30c6\u30fc\u30d6\u30eb\u4e0a\u306e\u7269\u4f53\u306e\u7247\u4ed8\u3051\u3092\u4fc3\u3059\u305f\u3081\u306e\u30ed\u30dc\u30c3\u30c8\u306e\u632f\u308b\u821e\u3044,” \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. 32, No. 5, \u00a0pp. E-H31_1-8, 2017.<\/span><\/li>\n
  8. Manabu Gouko, “Perceptual organization of objects placed on a table and their level of disorder,” Psychology, vol. 7, no. 5, pp. 7, 709-713, 2016.<\/span><\/li>\n
  9. \u90f7\u53e4 \u5b66, \u5927\u585a \u4e00\u8def, “\u5c40\u6240\u9818\u57df\u306e\u60c5\u5831\u304b\u3089\u306e\u4e88\u6e2c\u306b\u3082\u3068\u3065\u304f\u6b69\u884c\u8005\u30e2\u30c7\u30eb,” \u30aa\u30da\u30ec\u30fc\u30b7\u30e7\u30f3\u30ba\u30ea\u30b5\u30fc\u30c1\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. 58, 2015, pp.56\u201369, 2015.<\/span><\/li>\n
  10. Manabu Gouko, Yuichi Kobayashi, Chyon Hae Kim, “Online exploratory behavior acquisition model based on reinforcement learning,” Applied Intelligence, vol. 42, issue 1, pp.75-86, 2015, DOI:10.1007\/s10489-014-0567-4. (IF:1.853)<\/span><\/li>\n
  11. \u90f7\u53e4 \u5b66, \u91d1 \u5929\u6d77, \u5c0f\u6797\u7950\u4e00, “\u5f37\u5316\u5b66\u7fd2\u306b\u3088\u308b\u7269\u4f53\u8b58\u5225\u306e\u305f\u3081\u306e\u63a2\u7d22\u884c\u52d5\u306e\u7372\u5f97,” \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, vol.29, no.1, pp.120-128, 2014.<\/span><\/li>\n
  12. Manabu Gouko, “Application of Actor-Critic Method to Mobile Robot Using State Representation Based on Probability Distributions,” Journal of Basic and Applied Physics, vol.2, no.4, pp.191-195, 2013.<\/span><\/li>\n
  13. Manabu Gouko and Yuichi Kobayashi, “A State Representation Model for Robots Unaffected by Environmental Changes,” International Journal of Social Robotics, vol.5, Issue 1, pp 117-125, 2013.<\/span><\/li>\n
  14. Yuichi Kobayashi, Eisuke Kurita and Manabu Gouko, “Integration of Multiple Sensor Spaces with Limited Sensing Range and Redundancy,” International Journal of Robotics and Automation,DOI: 10.2316\/Journal.206.2013.1.206-3641, 2012.<\/span><\/li>\n
  15. Mitsuru Takahashi, Kotaro Takeda, Yohei Otaka, Rieko Osu, Takashi Hanakawa, Manabu Gouko and Koji Ito, “Event related desynchronization-modulated functional electrical stimulation system for stroke rehabilitation: A feasibility study,” Journal of Neuro Engineering and Rehabilitation, DOI:10.1186\/1743-0003-9-56, 2012.<\/span><\/li>\n
  16. Yuichi Kobayashi, Yuta Sato and Manabu Gouko, “Division of iterative-transportation based on local observation by multiple mobile robots,” Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.16, no.3, pp.462-468, 2012.<\/span><\/li>\n
  17. \u6817\u7530\u82f1\u4ecb, \u5c0f\u6797\u7950\u4e00, \u90f7\u53e4 \u5b66, “\u4e0d\u5b8c\u5168\u306a\u77e5\u899a\u306e\u30bb\u30f3\u30b5\u540c\u58eb\u306e\u7d71\u5408\u306b\u3088\u308b\u30ed\u30dc\u30c3\u30c8\u306e\u884c\u52d5\u751f\u6210,” \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, vol.47, no.4, pp.191-199, 2011.<\/span><\/li>\n
  18. \u90f7\u53e4 \u5b66, \u5c0f\u6797 \u7950\u4e00, “\u80fd\u52d5\u7684\u306a\u52d5\u304d\u306b\u3082\u3068\u3065\u304f\u77e5\u899a\u306e\u6052\u5e38\u6027\u3092\u5b9f\u73fe\u3059\u308b\u72b6\u614b\u8868\u73fe,” \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cD, vol.J94-D, no.5, pp.862-871, 2011.<\/span><\/li>\n
  19. Manabu Gouko and Koji Ito, “Environmental modeling and identification based on changes in sensory information,” Lecture Notes in Computer Science, vol.6260, pp.3-19, 2010.<\/span><\/li>\n
  20. Manabu Gouko, Naoki Tomi, Tomoaki Nagano and Koji Ito, “Behavior emergence model based on change in sensory information and its application to multiple tasks,”International Journal of Robotics and Automation, vol,25, no.1, pp.57-66, 2010.<\/span><\/li>\n
  21. \u4e95\u90e8 \u9b8e\u5b50\uff0c\u90f7\u53e4 \u5b66, \u4f0a\u85e4 \u5b8f\u53f8, “\u8868\u9762\u7b4b\u96fb\u4f4d\u3092\u7528\u3044\u305f\u524d\u8155\u7fa9\u624b\u306e\u8907\u5408\u52d5\u4f5c\u8b58\u5225,” \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6\uff0cvol.45, no.12, pp.717-723, (2009-12). \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u8cde\u53d7\u8cde<\/span><\/span><\/li>\n
  22. \u90f7\u53e4 \u5b66, \u767b\u7f8e \u76f4\u6a39\uff0c\u9577\u91ce \u667a\u6643\uff0c\u4f0a\u85e4 \u5b8f\u53f8, “\u72b6\u614b\u30d1\u30bf\u30fc\u30f3\u306e\u5909\u5316\u306b\u3082\u3068\u3065\u304f\u884c\u52d5\u751f\u6210\u30e2\u30c7\u30eb,” \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC\uff0cvol.129, no.9, sec.C, pp.1690-1698, (2009-9).<\/span><\/li>\n
  23. \u90f7\u53e4 \u5b66\uff0c\u4f0a\u85e4\u5b8f\u53f8, “\u30bb\u30f3\u30b5\u60c5\u5831\u306e\u5909\u5316\u91cf\u3092\u5229\u7528\u3057\u305f\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u74b0\u5883\u306e\u30e2\u30c7\u30eb\u5316\u3068\u8b58\u5225,” \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cA, vol.J92-A, no.7, pp.498-506, (2009-7).<\/span><\/li>\n
  24. \u9ad8\u6a4b \u5149, \u90f7\u53e4 \u5b66, \u4f0a\u85e4 \u5b8f\u53f8, “\u904b\u52d5\u60f3\u8d77\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u8a13\u7df4\u306b\u3088\u308b\u4e8b\u8c61\u95a2\u9023\u8131\u540c\u671f(ERD)\u51fa\u73fe\u306e\u691c\u8a3c,” \u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u8ad6\u6587\u96c6, vol.22, no.5, pp.199-205, (2009-5).<\/span><\/li>\n
  25. Manabu Gouko\uff0cKoji Ito, “An Action Generation Model by Using Time Series Prediction and Its Application to Robot Navigation,” International Journal of Neural Systems, vol.19, no.2, pp.105-113, (2009-4)<\/span><\/li>\n
  26. \u767b\u7f8e \u76f4\u6a39, \u90f7\u53e4 \u5b66, \u8fd1\u85e4 \u654f\u4e4b, \u4f0a\u85e4 \u5b8f\u53f8, “\u529b\u5834\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u5185\u90e8\u30e2\u30c7\u30eb\u306e\u4e0d\u5b8c\u5168\u6027\u3068\u30a4\u30f3\u30d4\u30fc\u30c0\u30f3\u30b9\u5236\u5fa1\u306b\u3088\u308b\u88dc\u5b8c,” \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, vol.44, no.11, pp.896-904, (2008-11).<\/span><\/li>\n
  27. \u9ad8\u6a4b \u5149, \u90f7\u53e4 \u5b66, \u4f0a\u85e4 \u5b8f\u53f8, “\u6a5f\u80fd\u7684\u96fb\u6c17\u523a\u6fc0(FES)\u306b\u3088\u308b\u811a\u904b\u52d5\u91ce\u306b\u304a\u3051\u308b\u4e8b\u8c61\u95a2\u9023\u975e\u540c\u671f(ERD)\u3078\u306e\u5f71\u97ff,” \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, vol.44, no.9, pp.699-704, (2008-9).<\/span><\/li>\n
  28. \u90f7\u53e4 \u5b66\uff0c\u4f0a\u85e4 \u5b8f\u53f8, “\u74b0\u5883\u5909\u5316\u306e\u4e88\u6e2c\u60c5\u5831\u3092\u5229\u7528\u3059\u308b\u30e2\u30b8\u30e5\u30fc\u30eb\u5207\u308a\u66ff\u3048\u578b\u884c\u52d5\u751f\u6210\u30e2\u30c7\u30eb,” \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cD, vol.91-D, no.3, pp.813-822 (2008-3)<\/span><\/li>\n
  29. \u90f7\u53e4 \u5b66\uff0c\u83c5\u8c37 \u81f3\u5bdb\uff0c\u963f\u66fd \u5f18\u5177, “\u6587\u8108\u306b\u57fa\u3065\u304f\u30e2\u30b8\u30e5\u30fc\u30eb\u5207\u308a\u66ff\u3048\u578b\u5b66\u7fd2\u30e2\u30c7\u30eb,”<\/span> \u60c5\u5831\u79d1\u5b66\u6280\u8853\u30ec\u30bf\u30fc\u30ba, 5, pp.143-146 (2006-9)<\/span><\/li>\n
  30. \u90f7\u53e4 \u5b66\uff0c\u83c5\u8c37 \u81f3\u5bdb\uff0c\u963f\u66fd \u5f18\u5177, “\u9010\u6b21\u5b66\u7fd2\u578b\u6642\u7cfb\u5217\u4e88\u6e2c\u30e2\u30c7\u30eb,” \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8cA, vol.J89-A, no.3, pp.243-252 (2006-3)<\/span>\n