{"id":6,"date":"2021-04-14T16:53:16","date_gmt":"2021-04-14T07:53:16","guid":{"rendered":"https:\/\/nishidalab.com\/?page_id=6"},"modified":"2021-04-19T15:06:09","modified_gmt":"2021-04-19T06:06:09","slug":"%e4%bc%9a%e7%a4%be%e6%a6%82%e8%a6%81","status":"publish","type":"page","link":"https:\/\/nishidalab.com\/?page_id=6","title":{"rendered":"\u4f1a\u793e\u6982\u8981"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\">\u4ee3\u8868\u3000<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"903\" height=\"1024\" src=\"https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida-903x1024.jpg\" alt=\"\" class=\"wp-image-10\" srcset=\"https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida-903x1024.jpg 903w, https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida-265x300.jpg 265w, https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida-768x870.jpg 768w, https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida-1355x1536.jpg 1355w, https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida-1568x1777.jpg 1568w, https:\/\/nishidalab.com\/wp-content\/uploads\/2021\/04\/nishida.jpg 1776w\" sizes=\"auto, (max-width: 903px) 100vw, 903px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<p>\u897f\u7530\u3000\u5065\uff08Nishida Takeshi\uff09<\/p>\n<\/div><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">\u7d4c\u6b74\u3000<\/h4>\n\n\n\n<pre class=\"wp-block-preformatted\">2002\u5e743\u6708\u3000\u535a\u58eb\uff08\u5de5\u5b66\uff09\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\n2002\u5e744\u6708\u3000\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u3000\u52a9\u624b\n2013\u5e744\u6708\u3000\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u3000\u51c6\u6559\u6388\n2016\u5e746\u6708\u3000\u30d5\u30e9\u30f3\u30b9\u56fdLORIA\u7814\u7a76\u6240\u3001\u30ed\u30ec\u30fc\u30cc\u5927\u5b66\u3000\u5ba2\u54e1\u7814\u7a76\u54e1\n2016\u5e748\u6708\u3000\u30a4\u30bf\u30ea\u30a2\u56fd\u30b5\u30ec\u30f3\u30c8\u5927\u5b66\u3000\u5ba2\u54e1\u7814\u7a76\u54e1\n2019\u5e744\u6708\u3000KiQ Robotics\u682a\u5f0f\u4f1a\u793e\u5275\u8a2d\u3000\u53d6\u7de0\u5f79CTO\n2020\u5e744\u6708\u3000\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u30aa\u30fc\u30d7\u30f3\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u63a8\u9032\u6a5f\u69cb\u3000\u7279\u4efb\u6559\u6388\n2021\u5e745\u6708  KiQ Robotics\u682a\u5f0f\u4f1a\u793e \u30c6\u30af\u30cb\u30ab\u30eb\u30d5\u30a7\u30ed\u30fc<\/pre>\n\n\n\n<h4 class=\"wp-block-heading\">\u66f8\u7c4d<\/h4>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<ol class=\"wp-block-list\"><li><a href=\"http:\/\/www.intechopen.com\/books\/show\/title\/computer_vision\"><\/a>Takeshi Nishida, Masayuki Obata, Hidekazu Miyagawa and Fujio Ohkawa, &#8220;Development of a Sensor System for an Outdoor Service Robot,&#8221; Ho Seok Ahn(Ed.), Advances in Service Robotics, pp. 193-218, Chapter 12, 2008.<\/li><li>Takeshi Nishida, Shuichi Kurogi, Koichi Yamanaka, Wataru Kogushi, Yuichi Arimura, &#8220;Development of Pilot Assistance System with Stereo Vision for Robot Manipulation,&#8221; Xiong Zhihui(Ed.), Computer Vision, pp. 282-302, Chapter 17, 2008.&nbsp;<\/li><li>\u897f\u7530 \u5065, \u5742\u672c \u54f2\u4e09, &#8220;\u30d5\u30a3\u30eb\u30e0\u642c\u9001\u304a\u3088\u3073\u5dfb\u53d6\u308a\u306b\u304a\u3051\u308b\u901f\u5ea6\u3068\u5f35\u529b\u306e\u5236\u5fa1&#8221;, \u300c\u201c\u30a6\u30a7\u30d6\u201d \u30ed\u30fc\u30ebto\u30ed\u30fc\u30eb\u306e\u642c\u9001\u3001\u5dfb\u53d6\u308a\u6280\u8853\u3000\u3000\u305d\u306e\u30c8\u30e9\u30d6\u30eb\u767a\u751f\u30e1\u30ab\u30cb\u30ba\u30e0\u3068\u5bfe\u7b56\u300d, \u6280\u8853\u60c5\u5831\u5354\u4f1a, pp. 47-56, 11\u670829\u65e5, 2013.<\/li><li>\u897f\u7530 \u5065, &#8220;\u81ea\u52d5\u904b\u8ee2\u306e\u305f\u3081\u306eLIDAR\u306b\u3088\u308b\u4e09\u6b21\u5143\u74b0\u5883\u8a08\u6e2c\u6280\u8853&#8221;, \u300c\u8eca\u8f09\u30bb\u30f3\u30b7\u30f3\u30b0\u6280\u8853\u306e\u958b\u767a\u3068ADAS\uff0c\u81ea\u52d5\u904b\u8ee2\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u5fdc\u7528\u300d,\u7b2c5\u7ae0\u7b2c3\u7bc0\uff0cpp. 184-195, \u6280\u8853\u60c5\u5831\u5354\u4f1a, 5\u670831\u65e5, 2017.<\/li><li>\u897f\u7530 \u5065, &#8220;\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u306b\u304a\u3051\u308b\u5f35\u529b\u5236\u5fa1&#8221;, \u300c\u30a6\u30a7\u30d6\u642c\u9001\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3051\u308b\u5236\u5fa1\u6280\u8853\u3068\u30c8\u30e9\u30d6\u30eb\u5bfe\u7b56\u300d,\u7b2c3\u7ae0\uff0c pp.67-88, R&amp;D, ISBN 987-4-905507-23-9, 2018.<\/li><li>\u897f\u7530 \u5065, &#8220;\u6b21\u4e16\u4ee3\u7523\u696d\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306eAI\u3068\u30af\u30e9\u30a6\u30c9\u6280\u8853&#8221;,\u300c\u201c\u4eba\u5de5\u77e5\u80fd\u201d\u306e\u5c0e\u5165\u306b\u3088\u308b\u751f\u7523\u6027\u3001\u52b9\u7387\u6027\u306e\u5411\u4e0a\u3001\u65b0\u88fd\u54c1\u958b\u767a\u3078\u306e\u6d3b\u7528\u300d, \u7b2c13\u7ae0, 4\u7bc0, pp. 298-305, ISBN 978-4-86104-713-8, \u6280\u8853\u60c5\u5831\u5354\u4f1a, 2018\u5e745\u670831\u65e5.<\/li><li>\u897f\u7530 \u5065, \u68ee\u7530 \u8ce2, \u5ca1\u7530 \u6d69\u4e4b, \u539f \u7965\u5c2d, \u5c71\u5d0e \u516c\u4fca, \u57a3\u5185 \u6d0b\u5e73, \u7530\u5411 \u6a29, \u9f4b\u85e4 \u529f, \u5927\u5ddd \u4e00\u4e5f, \u7530\u4e2d \u826f\u9053, \u6709\u7530 \u88d5\u592a, \u77f3\u7530 \u88d5\u592a\u90ce, \u300c\u5b9f\u7528\u30ed\u30dc\u30c3\u30c8\u958b\u767a\u306e\u305f\u3081\u306eROS\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u300d, \u68ee\u5317\u51fa\u7248, 2018\u5e7410\u670813\u65e5.&nbsp;<\/li><li>\u897f\u7530 \u5065, \u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u3092\u7528\u3044\u305f\u30bb\u30f3\u30b5\u30c7\u30fc\u30bf\u306e\u7d71\u5408\u3068\u63a8\u5b9a\u6280\u8853, \u7b2c7\u7ae0\u7b2c1\u7bc0, \u300c\u30bb\u30f3\u30b5\u30fc\u30d5\u30e5\u30fc\u30b8\u30e7\u30f3\u300d,\u6280\u8853\u60c5\u5831\u5354\u4f1a, 2019\u5e741\u6708.&nbsp;<a href=\"http:\/\/www.intechopen.com\/books\/show\/title\/advances_in_service_robotics\"><\/a><\/li><\/ol>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">\u539f\u8457\u8ad6\u6587<\/h4>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<ul class=\"wp-block-list\"><li>[31] \u6a2a\u7530, \u672c\u7530, \u5c71\u798f, \u897f\u7530, \u6c60\u6c38, \u68ee, \u677e\u6c38, \u4e38\u5c71, \u5409\u7530, \u9577\u7530, &#8220;\u7523\u696d\u7528\u30ed\u30dc\u30c3\u30c8\u5236\u5fa1\u3078\u306e\u7b2c5\u4e16\u4ee3\u79fb\u52d5\u901a\u4fe1\u30b7\u30b9\u30c6\u30e0\u306e\u9069\u7528,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cD, Vol. 140, No. 4, 2020.<br><\/li><li>[30] Thibault Barbi\u00e9, Takaki Nishio, and Takeshi Nishida, &#8220;Trajectory Prediction with a Conditional Variational Autoencoder,&#8221; J. Robot. Mechatron., Vol. 31, No. 3, pp. 493-499, 2019.<br><\/li><li>[29] \u897f\u7530 \u5065, &#8220;\u7523\u696d\u7528\u30ed\u30dc\u30c3\u30c8\u306e\u305f\u3081\u306e\u30bd\u30d5\u30c8\u30b0\u30ea\u30c3\u30d1,&#8221; \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, pp.42-45, Vol.37, No.1, 2019.<br><\/li><li>[28] \u6d25\u4e0a \u7950\u5178, \u6851\u91ce \u50da\u5927, \u897f\u7530 \u5065, &#8220;\u78c1\u529b\u3092\u7528\u3044\u308b\u69cb\u9020\u304c\u7c21\u5358\u306a\u67d4\u8edf\u30ed\u30dc\u30c3\u30c8\u30b0\u30ea\u30c3\u30d1,&#8221; \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, Vol. 36, No. 8, pp. 520-524, 2018.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2018\/softgripper.pdf\"><\/a><br><\/li><li>[27] Tetsuo Tomizawa, Masato Shibuya, Ryodo Tanaka, Takeshi Nishida, &#8220;Developing a Remotely Operated Portable Mobile Robot,&#8221; Journal of Robotics and Mechatronics, Vol.30 No.4\u2003pp. 584-590, doi: 10.20965\/jrm.2018.p0584, 2018.<br><\/li><li>[26] Masaya Inoue, Sozo Inoue, Takeshi Nishida, &#8220;Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput,&#8221; Artificial Life and Robotics, Vol. 23, Iss. 2, pp 173\u2013185, June 2018.<br><\/li><li>[25] Thibault Barbi\u00e9, Ryo Kabutan, Ryodo Tanaka, T. Nishida, &#8221;&nbsp;Gaussian Mixture Spline Trajectory: Learning From a Dataset, Generating Trajectories Without One,&#8221; Advanced Robotics, Vol. 32, Iss. 10, pp. 547-558, 2018.<br><\/li><li>[24-1] Ryo Kabutan, Takeshi Nishida, &#8221;&nbsp;Motion Planning by T-RRT with Potential Function for Vertical Articulated Robots,&#8221; Electrical Engineering in Japan, DOI10.1002\/eej.23103, April 2018.<br><br>[24-2] \u682a\u4e39 \u4eae, \u897f\u7530 \u5065, &#8221;&nbsp;\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u95a2\u6570\u3092\u7d44\u307f\u8fbc\u3093\u3060T-RRT\u306b\u3088\u308b\u5782\u76f4\u591a\u95a2\u7bc0\u30ed \u30dc\u30c3\u30c8\u306e\u7d4c\u8def\u63a2\u7d22,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC, pp. 165-172, Vol.138, No.2. 2018.&nbsp;<a href=\"https:\/\/www.jstage.jst.go.jp\/article\/ieejeiss\/138\/2\/138_165\/_article\/-char\/ja\/\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2018\/eej1.pdf\"><\/a><br><\/li><li>[23] Masaru Morita, Takeshi Nishida, Yuta Arita, Mirei Shige-eda, Enrico di Maria, Roberto Gallone, and Nicola Ivan Giannoccaro, &#8221;&nbsp;Development of Robot for 3D Measurement of Forest Environment,&#8221; Journal of Robotics and Mechatronics, Vol.30 No.1, pp. 145-154, February 20, 2018.&nbsp;<a href=\"https:\/\/www.fujipress.jp\/jrm\/rb\/robot003000010145\/\"><\/a><br><\/li><li>[22] Masaru Morita, Takeshi Nishida, &#8221;&nbsp;Development of state estimation filter simulator built on an integrated GUI framework,&#8221; Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.20, No.5, pp.721-729, 2016.<br><\/li><li>[21] Takeshi Nishida, Yuki Okatani, Kenjiro Tadakuma, &#8221;&nbsp;Development of Universal Robt Gripper Using MR\u03b1 Fluid,&#8221; International Journal of Humanoid Robotics, Vol.13, No.4, 16500171(13 pages), 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/MRalpha.pdf\"><\/a><br><\/li><li>[20] S. Oomori, T. Nishida, S. Kurogi, &#8221;&nbsp;Point Cloud Matching Using Singular Value Decomposition,&#8221; Artificial Life and Robotics, Vol. 21, Issu. 2, pp. 149-154, 2016.<br><\/li><li>[18] \u897f\u7530\u5065, \u9ed2\u6728\u79c0\u4e00, &#8220;\u5bfe\u5fdc\u95a2\u4fc2\u304c\u4e0d\u660e\u306a3\u6b21\u5143\u70b9\u96c6\u5408\u9593\u306e\u56de\u8ee2\u884c\u5217\u306e\u63a8\u5b9a,&#8221; \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c, Vol. 31, No. 6, pp. 624-627. 2013.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2013\/svd.pdf\"><\/a><br><\/li><li>[17] \u897f\u7530\u5065, &#8220;\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u3092\u7528\u3044\u308b\u72b6\u614b\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u5236\u5fa1,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c C, Vol. 133. No. 7, pp. 1376-1383, 2013.&nbsp;<a href=\"https:\/\/www.jstage.jst.go.jp\/article\/ieejeiss\/133\/7\/133_1376\/_article\/-char\/ja\/\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2013\/pfcntl.pdf\"><\/a><br><br>[17-2] Takeshi Nishida, &#8221;&nbsp;State Feedback Control using Particle Filter,&#8221; Electronics and Communications in Japan, Vol. 98, Issue 6, pp. 16-25, June, 2015.&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ecj.11658\/abstract\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2015\/NISHIDA.pdf\"><\/a><br><\/li><li>[16] \u897f\u7530 \u5065, \u76f8\u826f \u614e\u4e00, \u6b66\u6751 \u53f2\u6717, &#8221;&nbsp;\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u306b\u3088\u308b\u6d77\u5e95\u751f\u7269\u306e\u8ffd\u8de1,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c D, Vol.133, No.2, pp.116-125, 2013.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2013\/133_116.pdf\">&nbsp;<\/a>.<br><\/li><li>[15] Nicola Ivan Giannoccaro, Takeshi Nishida, Tetsuzo Sakamoto, &#8220;Decentralized Control Performances of an Experimental Web Handling System,&#8221; International Journal of Advanced Robotic Systems, Vol.9, 141:2012, 2012.&nbsp;<a href=\"http:\/\/www.intechopen.com\/journals\/international_journal_of_advanced_robotic_systems\/decentralized-control-performances-of-an-experimental-web-handling-system\"><\/a><br><\/li><li>[14-1] \u897f\u7530 \u5065, &#8220;\u6642\u5909\u95a2\u6570\u306b\u9069\u5fdc\u3059\u308b\u305f\u3081\u306eABC\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4fee\u6b63,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c C, Vol.132, No. 4, pp. 584-591, 2012.&nbsp;<a href=\"http:\/\/www.jstage.jst.go.jp\/browse\/ieejeiss\/131\/9\/_contents\/-char\/ja\/\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2012\/abc.pdf\"><\/a><br><br>[14-2] Takeshi Nishida, &#8221;&nbsp;Modification of ABC Algorithm for Adaptation to Time-Varying Functions,&#8221; Electronics and Communications in Japan, Vol. 96, Issu. 11, pp. 44-53, Nov. 2013.&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ecj.11479\/abstract\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2013\/abc2.pdf\"><\/a><br><\/li><li>[13] \u897f\u7530 \u5065, \u751f\u99d2 \u54f2\u4e00, \u9ed2\u6728 \u79c0\u4e00, \u5742\u672c \u54f2\u4e09, &#8221;&nbsp;\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u3068\u9069\u5fdc\u30d9\u30af\u30c8\u30eb\u91cf\u5b50\u5316\u306b\u3088\u308b\u67d4\u8edf\u5909\u5f62\u7269\u4f53\u306e\u8ffd\u8de1\u3068\u7279\u5fb4\u91cf\u62bd\u51fa,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c C, Vol. 131, No. 12, pp. 2196-2203, 2011.&nbsp;<a href=\"http:\/\/www.jstage.jst.go.jp\/browse\/ieejeiss\/131\/9\/_contents\/-char\/ja\/\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2011\/131_2196.pdf\"><\/a><br><\/li><li>[12-1] \u897f\u7530 \u5065, \u5742\u672c \u54f2\u4e09, \u30cb\u30b3\u30e9 \u30a4\u30d0\u30f3 \u30b8\u30a2\u30ce\u30ab\u30c3\u30ed, &#8221;&nbsp;\u9069\u5fdcPSO\u3092\u7528\u3044\u308b\u30bb\u30eb\u30d5\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0PI\u30b3\u30f3\u30c8\u30ed\u30fc\u30e9\u306b\u3088\u308b\u30a6\u30a7\u30d6\u642c\u9001\u7cfb\u306e\u91cd\u8907\u5206\u5272\u5206\u6563\u5236\u5fa1,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c D, Vol. 131, No. 12, pp. 1442-1450, 2011.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2011\/D.pdf\"><\/a><br><br>[12-2] Takeshi Nishida, Tetsuzo Sakamoto, Nicola Ivan Giannoccaro, &#8221;&nbsp;Self-Tuning PI Control Using Adaptive PSO of a Web Transport System with Overlapping Decentralized Control,&#8221; Electronical Engineering in Japan, Vol.184, Iss.1, pp.56-65, 2013.&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/eej.22366\/abstract\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2013\/22366_ftp.pdf\"><\/a><br><\/li><li>[11-1] \u897f\u7530 \u5065, \u5742\u672c \u54f2\u4e09, &#8221;&nbsp;\u6642\u5909\u30b7\u30b9\u30c6\u30e0\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u540c\u5b9a\u306e\u305f\u3081\u306e\u9069\u5fdcPSO,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c C, Vol. 131, No. 9, pp. 1642-1649, 2011.&nbsp;<a href=\"http:\/\/www.jstage.jst.go.jp\/browse\/ieejeiss\/131\/9\/_contents\/-char\/ja\/\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2011\/131_1642.pdf\"><\/a><br><br>[11-2] Takeshi Nishida, Tetsuzo Sakamoto, &#8221;&nbsp;Adaptive PSO for Online Identification of Time-Varying Systems,&#8221; Electronics and Communications in Japan, Vol. 95, Iss. 7, pp. 10-18, 2012.&nbsp;<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ecj.11391\/abstract\"><\/a><br><\/li><li>[10] \u897f\u7530 \u5065, \u751f\u99d2 \u54f2\u4e00, \u9ed2\u6728 \u79c0\u4e00, \u5742\u672c \u54f2\u4e09, &#8221;&nbsp;\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u3068\u9069\u5fdc\u30d9\u30af\u30c8\u30eb\u91cf\u5b50\u5316\u306b\u3088\u308b\u4e8b\u5f8c\u78ba\u7387\u5206\u5e03\u304b\u3089\u306e\u9ad8\u6b21\u60c5\u5831\u306e\u7279\u6027\u5024\u62bd\u51fa,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. J94-D, No. 2, pp. 450-459, Feb. 2011.&nbsp;<a href=\"http:\/\/search.ieice.org\/index.html\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2011\/j94-d_2_450.pdf\"><\/a><br><\/li><li>[9] \u5c0f\u7551 \u660c\u4e4b, \u897f\u7530 \u5065, \u5bae\u6cb3 \u79c0\u548c, \u5927\u5ddd \u4e0d\u4e8c\u592b, &#8221;&nbsp;\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u3092\u7d44\u307f\u8fbc\u3093\u3060\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u56fa\u6709\u7a7a\u9593\u6cd5\u306b\u3088\u308b\u4e09\u6b21\u5143\u7269\u4f53\u306e\u691c\u77e5\u30fb\u59ff\u52e2\u63a8\u5b9a\u30fb\u8ffd\u8de1\u306e\u540c\u6642\u5b9f\u884c,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c C, Vol. 129, No. 5, pp. 838-845, 2009.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2009\/IEE\/pf-ESM.pdf\"><\/a><br><\/li><li>[8] \u9ed2\u6728 \u79c0\u4e00, \u897f\u7530 \u5065, &#8221;&nbsp;\u7af6\u5408\u9023\u60f3\u30cd\u30c3\u30c8\u306b\u3088\u308b\u8ddd\u96e2\u753b\u50cf\u304b\u3089\u306e\u5e73\u9762\u62bd\u51fa,&#8221; \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u8a8c, Vol. 14, No. 4, pp. 273-281, 2007.<br><\/li><li>[7] \u9ed2\u6728 \u79c0\u4e00, \u897f\u7530 \u5065, \u6e15\u5ddd \u5eb7\u88d5, &#8221;&nbsp;\u30d0\u30c3\u30c1\u5b66\u7fd2\u578b\u7af6\u5408\u9023\u60f3\u30cd\u30c3\u30c8\u3068\u305d\u306e\u6027\u8cea,&#8221; \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. 42, No. 8, pp. 916-925, 2006.&nbsp;<a href=\"http:\/\/www.sice.or.jp\/kaishi\/ronbun\/ron2000\/ron200608.html#paper10\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2006\/kuro2006.pdf\"><\/a><br><\/li><li>[6] \u5c0f\u7551 \u660c\u4e4b, \u897f\u7530 \u5065, \u5bae\u6cb3 \u79c0\u548c, \u8fd1\u85e4 \u9686\u53f2, \u5927\u5ddd \u4e0d\u4e8c\u592b, &#8221;&nbsp;\u6295\u68c4\u30b4\u30df\u306e\u56de\u53ce\u3092\u884c\u3046\u5c4b\u5916\u30b5\u30fc\u30d3\u30b9\u30ed\u30dc\u30c3\u30c8\u306e\u958b\u767a,&#8221; \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c C, Vol. 126, No. 7, pp. 840-848, 2006.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2006\/IEEJ07\/osr01_2.pdf\">&nbsp;<\/a>(modified version)<br><\/li><li>[5] \u6e15\u5ddd \u5eb7\u88d5, \u9ed2\u6728 \u79c0\u4e00, \u677e\u5c3e \u514b\u5b8f, \u5bae\u672c \u4fca\u4e00\u90ce, \u897f\u7530\u5065, &#8221;&nbsp;\u30ac\u30a4\u30c9\u30dd\u30b9\u30c8\u3068\u4e00\u53f0\u306e\u30ab\u30e1\u30e9\u3092\u7528\u3044\u308b\u79fb\u52d5\u30ed\u30dc\u30c3\u30c8\u30ca\u30d3\u30b2\u30fc\u30b7\u30e7\u30f3,&#8221; \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, Vol. 42, No. 1, pp. 62-69, 2006.&nbsp;<a href=\"http:\/\/www.sice.or.jp\/kaishi\/ronbun\/ron2000\/ron200601.html#paper9\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2006\/futi2006.pdf\"><\/a><br><\/li><li>[4] \u9ed2\u6728 \u79c0\u4e00, \u897f\u7530 \u5065, \u4fe1\u53cb \u5b8f\u6a39, \u5742\u672c \u8cb4\u5b50, \u4e09\u80a1 \u5145, \u4f0a\u85e4 \u52dd\u7f8e, &#8221;&nbsp;RCA\u6d17\u6d44\u30b7\u30b9\u30c6\u30e0\u306e\u71b1\u30e2\u30c7\u30eb\u3068\u6d17\u6d44\u6db2\u306e\u9069\u5fdc\u4e88\u6e2c\u6e29\u5ea6\u5236\u5fa1,&#8221; \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, Vol. 37, No. 8, pp. 754-762, 2001.&nbsp;<a href=\"http:\/\/www.sice.or.jp\/publish\/ron\/ron200108.html#PAPER010\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2001\/kuro2001-2.pdf\"><\/a><br><\/li><li>[3] \u9ed2\u6728 \u79c0\u4e00, \u897f\u7530 \u5065, &#8221;&nbsp;\u8907\u6570\u306e\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u3068\u5207\u308a\u66ff\u3048\u3092\u884c\u3046\u7af6\u5408\u9023\u60f3\u30cd\u30c3\u30c8\u3092\u7528\u3044\u308b\u9069\u5fdc\u4e88\u6e2c\u5236\u5fa1,&#8221; \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, Vol. 37, No. 3, pp. 203-212, 2001.&nbsp;<a href=\"http:\/\/www.sice.or.jp\/publish\/ron\/ron200103.html#PAPER03\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2001\/kuro2001-1.pdf\"><\/a><br><\/li><li>[2-1] \u897f\u7530 \u5065, \u9ed2\u6728 \u79c0\u4e00, \u4f50\u4f2f \u77e5\u5247, &#8220;\u518d\u521d\u671f\u5316\u6cd5\u3092\u7528\u3044\u305f\u9069\u5fdc\u30d9\u30af\u30c8\u30eb\u91cf\u5b50\u5316,&#8221; \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c (D-II), Vol. J84-D-II, No. 7, pp. 1503-1511, Jul. 2001.&nbsp;<a href=\"http:\/\/search.ieice.org\/jpn\/2001\/files\/j000d207.htm#j84-d2,7,1503\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2001\/CRL.pdf\"><\/a><br><br>[2-2] T. Nishida, S. Kurogi and T. Saeki, &#8221;&nbsp;Adaptive Vector Quantization Using Reinitialization Method,&#8221; Electronics and Communications in Japan, Part 2: Electronics, Vol. 88, No. 5, pp. 60-69, 2005.<br><\/li><li>[1] \u897f\u7530 \u5065, \u9ed2\u6728 \u79c0\u4e00, &#8221;&nbsp;\u591a\u5c64\u7af6\u5408\u30cd\u30c3\u30c8\u306b\u3088\u308b\u5ea7\u6a19\u5909\u63db\u306b\u4e0d\u5909\u306a\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58,&#8221; \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u8a8c, Vol.7, No. 4, pp. 106-114, 2000.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2000\/nishida2000.pdf\"><\/a><\/li><\/ul>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">\u67fb\u8aad\u4ed8\u304d\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587<\/h4>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<ul class=\"wp-block-list\"><li>[84] Sora Honda and Takeshi Nishida, &#8220;<strong>Six Degree-of-Freedom Object Recognition Using Point Cloud with 3D-CNN Learning in Cyberspace<\/strong>,&#8221; Proc. of 25th International Symposium on Artificial Life and Robotics, pp. 469-473, 2020.<br><\/li><li>[83] Masaru Morita, Yuta Arita, Ryodo Tanaka, and Takeshi Nishida, &#8220;<strong>Development of Autonomous Mobile Robot for Real-World Robot Challenge (Tsukuba Challenge) by Applying ROS<\/strong>,&#8221; Proc. of 25th International Symposium on Artificial Life and Robotics, pp. 365-370, 2020.<br><\/li><li>[82] Masaru Morita and Takeshi Nishida, &#8220;<strong>Fault Detection Using Particle Filter and Likelihood Ratio<\/strong>,&#8221; Proc. of 25th International Symposium on Artificial Life and Robotics, pp. 294-298, 2020.<br><\/li><li>[81] Masaru Morita and Takeshi Nishida, &#8220;<strong>Noise Removal of Depth Sensor Using Particle Filter<\/strong>,&#8221; proc. of 2020 IEEE\/SICE International Symposium on System Integration (SII), Jan., 12-15, 2020.<br><\/li><li>[80] Tomohiro Kuwano and Takeshi Nishida, &#8220;<strong>Development of Flexible Robot Gripper Holding Deformatin by Electromagnetic Brake<\/strong>,&#8221; Proc. of International Conference on Control Automation and Systems, pp. 690-693, 2019.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2019\/TA3-3.pdf\"><\/a><br><\/li><li>[79] Atsuki Yokota, Sora Honda, Kei Yamafuku, Takeshi Nishida, Takeshi Ikenaga, Naoki Mori, Akira Matsunaga, Kakeru Maruyama, Kyohiro Yoshida, and Shintaro Osada, &#8220;<strong>Development of Industrial Robot System with 5th Generation Mobile Communication System<\/strong>,&#8221; Proc. of International Conference on Control, Automation and Systems, pp. 851-855, 2019.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2019\/TA9-6.pdf\"><\/a><br><\/li><li>[78] Jiawei Niu, Thibault Barbie;, and Takeshi Nishida, &#8220;<strong>Generating Trajectories Using Conditional Information Maximizing Generative Adversarial Network<\/strong>,&#8221; Proc. of The Twenty-Fourth International Symposium on Artificial Life and Robotics 2019 (AROB 24th 2019), pp. 378-382, B-Con Plaza, Beppu, Japan, January 23-25, 2019.<br><\/li><li>[77] T. Nishio, T. Nishida, &#8220;<strong>Specific Object Recognition and Tracking by Cascade Connection of Different Types of CNNs and a Time-series Filter<\/strong>,&#8221; Proc. of International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2018) , pp. 7-11, Nov. 28, 2018.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2018\/nishio.pdf\"><\/a><br><\/li><li>[76] Takahiro Yamashita, Takeshi Nishida, &#8220;<strong>Path Planning using Multilayer Neural Network and Rapidly-exploring Random Tree<\/strong>,&#8221; Proc. of International Conference on Control, Automation and Systems (ICCAS 2018), pp. 489-493, Oct. 17\u201320, GangWon, Korea, 2018.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2018\/yamashita.pdf\"><\/a><br><\/li><li>[75] T. Ninomiya, Y. Arita, R. Tanaka, T. Nishida, N. I. Giannoccaro, &#8221;&nbsp;<strong>Automatic Calibration of Industrial Robot and 3D Sensors using Real-Time Simulator<\/strong>,&#8221; Proc. of ICT-ROBOT, TA2.3, Sep. 6-89, 2018.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2018\/ict2018.pdf\"><\/a><br><\/li><li>[74] Y. Tsugami, T. Barbi\u00e9, K. Tadakuma, T. Nishida, &#8221;&nbsp;<strong>Development of Universal Parallel Gripper Using Reformed Magnetorheological Fluid<\/strong>,&#8221; Proc. of The 2017 Asian Control Conference, pp. 778-783, Gold Coast, Australia, Dec. 17-20, 2017.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2017\/0183.pdf\"><\/a><br><\/li><li>[73] T. Barbi\u00e9, T. Nishida, &#8221;&nbsp;<strong>Trajectory Prediction using Conditiona Generative Adversial Network<\/strong>,&#8221; International Seminar on Artificial Intelligence, Networking and Information Technology, Bangkok, Dec. 4-5, 2017.&nbsp;<a href=\"https:\/\/www.atlantis-press.com\/proceedings\/anit-17\/25889340\"><\/a><br><\/li><li>[72] Y. Tsugami, T. Nishida, &#8221;&nbsp;<strong>Simple Structure Gripper Using Electromagnet and Permanent Magnet<\/strong>,&#8221; Proc. of ICT-ROBOT, pp. 64-67, Nov. 25, 2017.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2017\/104C6.pdf\"><\/a><br><\/li><li>[71] N. Tokudome, S. Ayukawa, S. Ninomiya, S. Enokida, T. Nishida, &#8221;&nbsp;<strong>Development of Real-time Environment Recognition System using LiDAR for Autonomous Driving<\/strong>,&#8221; Proc. of ICT-ROBOT, pp. 1-4, Nov. 25, 2017.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2017\/104A1.pdf\"><\/a><br><\/li><li>[70] M. Inoue, T. Yamashita, T. Nishida, &#8221;&nbsp;<strong>Robot Path Planning by LSTM Network Under Changing Environment<\/strong>,&#8221; Proc. of The International Conference on Computational Sciences, Advanced Database and Computing, CS38, Thailand, Oct. 12, 2017.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2017\/CSADC2017_38.pdf\"><\/a><br><\/li><li>[69] T. Barbi\u00e9, R. Kabutan, R. Tanaka, T. Nishida, &#8221;&nbsp;<strong>Helping Optimization Based Planners: Generating Trajectories Seeds using Motion Datasets<\/strong>,&#8221; Proc. of ICRA2017 Workshop &#8220;AI in Automation&#8221;, Singapore, May 30, 2017.<br><\/li><li>[68] Y. Ogata, R Kabutan, T. Nishida, &#8221;&nbsp;<strong>Parameter Optimization of Frequency Estimation by Distribution Using Particle Swarm Optimization<\/strong>,&#8221; Proc. of ICT-ROBOT, ThBT3.6, Pusan, Sep. 8, 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/ThBT3.6.pdf\"><\/a><br><\/li><li>[67] Y. Arita, E. di Maria, R. Gallone, L. Capodieci, M. Morita, K. Okubo, N. I. Giannoccaro, M. Shige-eda, T. Nishida, &#8221;&nbsp;<strong>Development of a Mobile Robot Platform for 3D Measurement of Forest Environment<\/strong>,&#8221; Proc. of ICT-ROBOT, ThBT3.5, Pusan, Sep. 8, 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/ThBT3.5.pdf\"><\/a><br><\/li><li>[66] T. Barbi\u00e9, T. Ryodo, R. Kabutan, T. Nishida, &#8221;&nbsp;<strong>Real Time Object Position Estimation by Convolutional Neural Network<\/strong>,&#8221; Proc. of ICT-ROBOT, ThBT3.4, Pusan, Sep. 8, 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/ThBT3.4.pdf\"><\/a><br><\/li><li>[65] S. Ayukawa, N. Tokudome, S. Enokida, T. Nishida, &#8221;&nbsp;<strong>Time-series LIDAR Data Superimposition for Autonomous Driving<\/strong>,&#8221; Proc. of ICT-ROBOT, ThBT3.3, Pusan, Sep. 8, 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/ThBT3.3.pdf\"><\/a><br><\/li><li>[64] R. Kabutan, R. Tanaka, S. Oomori, M. Morita, E. Inohira, K. Yoshida, H. Ohtake, T. Nishida, &#8221;&nbsp;<strong>Development of robotic intelligent space using multiple RGB-D cameras for industrial robots<\/strong>,&#8221; Proc. of ICT-ROBOT, ThBT3.2, Pusan, Sep. 8, 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/ThBT3.2.pdf\"><\/a><br><\/li><li>[63] K. Tominaga, T. Nishida, &#8221;&nbsp;<strong>Parallel execution of SVOs for estimation of moving objects<\/strong>,&#8221; Proc. of ICT-ROBOT, ThBT3.1, Pusan, Sep. 8, 2016.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2016\/ThBT3.1.pdf\"><\/a><br><\/li><li>[62] S. Oomori, T. Nishida S. Kurogi, &#8221;&nbsp;<strong>Point Cloud Matching Using Singular Value Decomposition<\/strong>,&#8221; Proc. of International Symposium on Artificial Life and Robotics, Jan., pp. 451-454, 2015.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2015\/arob2015oomori.pdf\"><\/a><br><\/li><li>[61] Y. Okatani, T. Nishida, K. Tadakuma, &#8221;&nbsp;<strong>Development of Universal Robot Gripper Using MR\u03b1 Fluid<\/strong>&#8220;, Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, pp.231-235, Dec. 3-9, 2014.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2014\/MRalpha.pdf\"><\/a><br><\/li><li>[60] T. Nishida, D. Shigehisa, N. Kawashima, K. Tadakuma, &#8221;&nbsp;<strong>Development of Universal Jamming Gripper with a Force Feedback Mechanism<\/strong>&#8220;, Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems, pp. 242-246, Dec. 3-9, 2014.<br><\/li><li>[59] N. Migita, S. Inoue, T. Yumiyama, T. Nishida, &#8221;&nbsp;<strong>A Method for Tracking On-body Sensor Positions Utilizing Prior Knowledge<\/strong>&#8220;, Ubicomp Workshop for Human Activity Sensing Corupus and its Application, pp.758-766, Sep. 13, Seattle, USA, 2014.<br><\/li><li>[58] K. Shimada, T. Nishida, &#8221;&nbsp;<strong>Particle Filter-Model Predictive Control of Quadcopter<\/strong>,&#8221; Proc. of International Conference on Advanced Mechatronic Systems, pp. 421-424, Tokai University, Kumamoto Campus, Japan, August 10-12, 2014.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2014\/pfmpc.pdf\"><\/a><br><\/li><li>[57] T. Nishida, S. Inoue, S. Sagara, &#8221;&nbsp;<strong>State estimation and control of a mobile robot using Kalman filter and particle filter<\/strong>,&#8221; Proc. of International Symposium on Artificial Life and Robotics, pp. 633-636, Jan., 2014.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2014\/OS8-5.pdf\">&nbsp;<\/a><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2014\/AROB2014nishida2.pdf\"><\/a><br><\/li><li>[56] S. Kurogi, K. Ono, T. Nishida, &#8221;&nbsp;<strong>Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing, Part III, pp. 557-565, Nov., 2013.<br><\/li><li>[55] W. Huang, S. Kurogi, T. Nishida, &#8221;&nbsp;<strong>Performance Improvement Via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals&nbsp;<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing, Part I, pp. 319-327, Nov., 2013.<br><\/li><li>[54] S. Kurogi, T. Ueki, Y. Mizobe, T. Nishida, &#8221;&nbsp;<strong>Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing, Part III, pp. 184-192, Nov., 2013.<br><\/li><li>[53] Y. Mizobe, S. Kurogi, T. Tsukazaki, and T. Nishida, &#8221;&nbsp;<strong>Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing 2012, Part V, LNCS 7667, pp. 247-255. Springer, Heidelberg, 2012.<br><\/li><li>[52] K. Ono, S. Kurogi, T. Tsukazaki, and T. Nishida, &#8221;&nbsp;<strong>Moments of Predictive Deviations as Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing 2012, International Conference on Neural Information Processing 2012, Part V, LNCS 7667, pp. 59-66. Springer, Heidelberg, 2012.<br><\/li><li>[51] W. Huang, S. Kurogi, and T. Nishida, &#8221;&nbsp;<strong>Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets&nbsp;<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing 2012, Part V, LNCS 7667, pp. 50-58. Springer, Heidelberg, 2012.<br><\/li><li>[50] S. Kurogi, S. Mineishi, T. Tsukazaki and T. Nishida, &#8221;&nbsp;<strong>Bayesian Multistep Speaker Recognition Using Competitive Associative Nets<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing, Part III, LNCS 7062, pp. 70-78, 2011.<br><\/li><li>[49] S. Kurogi, T. Nagi, S. Yoshinaga, H. Koya and T. Nishida, &#8221;&nbsp;<strong>Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing, Part III, LNCS 7064, pp. 612-628, 2011.<br><\/li><li>[48] S. Kurogi, H. Yuno, T. Nishida and W. Huang, &#8221;&nbsp;<strong>Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing, Part III, LNCS 7064, pp. 9-17, 2011.<br><\/li><li>[47] T. Nishida, T. Sakamoto, N.I.Giannoccaro, &#8220;<strong>A Self-Tuning PI Decentralized Control of Web Transport System<\/strong>,&#8221; Proc. of IECON, pp. 409-414, 2011.<br><\/li><li>[46] N.I.Giannoccaro, T. Nishida, T. Sakamoto, &#8220;<strong>Decentralized H infinity besed control of a web transport system<\/strong>,&#8221; pp. 8651-8656, Augu., Proc. of IFAC, 2011.<br><\/li><li>[45] S. Kurogi, T. Nagi, and T. Nishida, &#8221;&nbsp;<strong>Range Image Registration Using Particle Filter and Competitive Associative Nets<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing (International Conference on Neural Information Processing2010), Part II, LNCS 6444, pp.352-359 (2010.11)<br><\/li><li>[44] N. Ikoma, Y. Tanaka, Y. Inokuchi, I. Miyasita, K. Kawamoto, and T. Nishida, &#8221;&nbsp;<strong>Car Driver&#8217;s Body Motion Estimation for Safety Driving using Particle Filter<\/strong>,&#8221; Proc. of ISCIIA2010, pp.17-25, 2010.<br><\/li><li>[43] T. Nishida, N. Ikoma, and S. Kurogi, &#8221;&nbsp;<strong>Tracking and shape estimation of deformable object using particle filter and adaptive vector quantizer<\/strong>,&#8221; no.190, WAC2010, 2010.<br><\/li><li>[42] N. I. Giannoccaro, T. Sakamoto, and T. Nishida, &#8221;&nbsp;<strong>Linear model validation for controlling a multi rollers high speed web system<\/strong>,&#8221; proc. of ICMEE, Vol. 2, pp. 455-459, 2010.<br><\/li><li>[41] T. Nishida, W. Kogushi, N. Takagi, and S. Kurogi, &#8221;&nbsp;<strong>Dynamic State Estimation Using Particle Filter and Adaptive Vector Quantizer<\/strong>,&#8221; Proc. of CIRA 2009, pp. 429-434, 2009.<br><\/li><li>[40] S. Kurogi, H. Koya, R. Nagashima, D. Wakeyama, and T. Nishida, &#8221;&nbsp;<strong>Range Image Registration Using Plane Extraction by the CAN2<\/strong>,&#8221; Proc. of CIRA 2009, pp. 546-550 ,2009.<br><\/li><li>[39] S. Kurogi, D. Wakeyama, H. Koya, S. Okada, S. Inoue and T. Nishida, &#8221;&nbsp;<strong>Application of CAN2 to Plane Extraction from 3D Range Images<\/strong>,&#8221; Proc. of IJCNN 2008, pp. 2328-2333, 2008.<br><\/li><li>[38] S. Kurogi, Y. Koshiyama, D. Kuwahara, T. Nishida, M. Mimata and K. Itoh, &#8220;<strong>Model Switching Predictive Control Using Bagging CAN2 and First-Differense Signals for Temperature Control of RCA Cleaning Solutions<\/strong>,&#8221; Proc. of IJCNN 2008, pp. 2322-2327, 2008.<br><\/li><li>[37] M. Obata, T. Nishida, H. Miyagawa and F. Ohkawa, &#8221;&nbsp;<strong>Robust Target Tracking Using Particle Filter and Parametric Eigenspace Method<\/strong>,&#8221; Proc. of SICE Annual Conference 2007, 2007.<br><\/li><li>[36] N. Takagi, T. Nishida and T. Kobayashi, &#8221;&nbsp;<strong>Design of Adaptive Control Systems for Unstable Plants in the Presence of Input Saturation<\/strong>,&#8221; Proc. of SICE Annual Conference 2007, 2007.<br><\/li><li>[35] T. Nishida, S. Kurogi, Y. Takemura, H. Fukumoto, and S. Okada, &#8221;&nbsp;<strong>Range Data Approximation for Mobile Robot by Using CAN2<\/strong>,&#8221; Proc. of IJCNN2007, 2007.<br><a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2007\/IJCNN\/ijcnn07nishida.pdf\"><\/a><br><\/li><li>[34] M. Obata, T. Nishida, H. Miyagawa and F. Ohkawa, &#8221;&nbsp;<strong>Target Tracking and Posture Estimation of 3D Objects by Using Particle Filter and Parametric Eigenspace Method<\/strong>,&#8221; Proc. of IPCV 2007, pp. 67-72, 2007.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2007\/IPCV\/ipcv07obata.pdf\"><\/a><br><\/li><li>[33] N. Takagi, T. Nishida and T. Kobayashi, &#8221;&nbsp;<strong>A Design of Adaptive Control System with Input Saturation<\/strong>,&#8221; Proc. of SICE-ICCAS 2006, pp. 984-987, 2006.<br><\/li><li>[32] T. Nishida, Y. Takemura, Y. Fuchikawa, S. Kurogi, S. Ito, M. Obata, N. Hiratsuka, H. Miyagawa, Y. Watanabe, F. Koga, T. Suehiro, Y. Kawamura, Y. Kihara, T. Kondo and F. Ohkawa, &#8221;&nbsp;<strong>Development of an Outdoor Service Robot<\/strong>,&#8221; Proc. of SICE-ICCAS 2006, pp. 2052-2057, 2006.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2006\/SICE06\/TE13-1.pdf\"><\/a><br><\/li><li>[31] T. Nishida, Y. Takemura, Y. Fuchikawa, S. Kurogi, S. Ito, M. Obata, N. Hiratsuka, H. Miyagawa, Y. Watanabe, T. Suehiro, Y. Kawamura and F. Ohkawa, &#8221;&nbsp;<strong>Development of Sensor System for Outdoor Service Robot<\/strong>,&#8221; Proc. of SICE-ICCAS 2006, pp. 2687-2691, 2006.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2006\/SICE06\/FA14-5.pdf\"><\/a><br><\/li><li>[30] T. Nishida, H. Koga, Y. Fuchikawa, Y. Kitayama, S. Kurogi and Y. Arimura, &#8221;&nbsp;<strong>Development of Pilot Assistance System with Stereo Vision for Robot Manipulation<\/strong>,&#8221; Proc. of SICE-ICCAS 2006, pp. 2675-2680, 2006.<br><\/li><li>[29] S. Kurogi, S. Tanaka, R. Koyama and T. Nishida, &#8221;&nbsp;<strong>Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2006, LNSC 4234, pp. 698-707, 2006.<br><\/li><li>[28] S. Kurogi, D. Kuwahara, H. Tomisaki, T. Nishida, M. Mimata and K. Itoh, &#8221;&nbsp;<strong>Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2006, LNCS 4232, pp. 563-571, 2006.<br><\/li><li>[27] S. Kurogi, T. Nishida, S. Tanaka and Y. Fuchikawa, &#8221;&nbsp;<strong>Cross-Validation and Boostrap for Optimizing the Number of Units of Competitive Associative Nets<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing 2005, pp. 410-415, 2005.<br><\/li><li>[26] Y. Sakai, T. Nishida, S. Kurogi, A. Eguchi and Y. Fuchikawa, &#8221;&nbsp;<strong>Piecewise Linear Approximation of Range Data using Batch Learning Competitive Associative Net<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2005, pp. 202-207, 2005.<br><\/li><li>[25] H. Tomisaki, S. Kurogi, N. Araki, T. Nishida, Y. Fuchikawa, M. Mimata and K. Itoh &#8221;&nbsp;<strong>Cross-validation of Competitive Associative Nets for Stable Temperature Control of RCA Cleaning Solutions<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2005, pp. 166-170, 2005.<br><\/li><li>[24] T. Kondo, T. Nishida, M. Obata and F. Ohkawa, &#8221;&nbsp;<strong>A Research Report about The Outdoor Service Robot OSR-01&nbsp;<\/strong>,&#8221; Proc. of The 1st International Conference on Design Engineering and Science Vienna, pp. 271-275, 2005.<br><\/li><li>[23] Y. Fuchikawa, T. Nishida, S. Kurogi, T. Kondo, F. Ohkawa, T. Suehiro, Y. Watanabe, Y. Kawamura, M. Obata, H. Miyagawa and Y. Kihara, &#8221;<strong>Development of a Vision System for an Outdoor Service Robot to Collect Trash on Streets<\/strong>,&#8221; Proc. of CGIM05, pp.100-105, 2005.<br><\/li><li>[22] T. Nishida, S. Yamada, A. Eguchi, Y. Fuchikawa and S. Kurogi &#8221;&nbsp;<strong>Range Data Matching for Object Recognition Using Singular Value Decomposition<\/strong>,&#8221; Proc. of SCI2004, vol. 5, pp.29-34, 2004. (&nbsp;<strong>This paper selected as the best paper.<\/strong>)&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2004\/S909LO.pdf\"><\/a><br><\/li><li>[21] S. Kurogi, N. Araki, H. Miyamoto, Y. Fuchikawa and T. Nishida, &#8221;&nbsp;<strong>Temperature Control of RCA Cleaning Solutions Using Batch Learning Competitive Associative Net<\/strong>,&#8221; Proc. of SCI2004, vol. 5, pp.18-23, 2004.<br><\/li><li>[20] Y. Fuchikawa, S. Kurogi, K. Matsuo, S. Miyamoto and T. Nishida, &#8221;&nbsp;<strong>A Vision-Based Navigation System Using Guideposts for Mobile Robot<\/strong>,&#8221; Proc. of SCI2004, vol. 5, pp.6-11, 2004.<br><\/li><li>[19] T. Amano, S. Kurogi, A. Eguchi, T. Nishida and Y. Fuchikawa, &#8221;&nbsp;<strong>A Neural Network Model for Storing and Retrieving 2D Images of Rotated 3D Object Using Principal Components<\/strong>,&#8221; Proc. of SCI2004, vol. 5, pp.1-5, 2004.<br><\/li><li>[18] T. Kondo, K. Tanaka, F. Ohkawa, T. Nishida and M. Oya, &#8221;&nbsp;<strong>Development of Weeding Robot System<\/strong>,&#8221; Proc. of ISBS2004, Part V Robotics and Motion Control, pp.27-31, 2004.<br><\/li><li>[17] T. Nishida, T. Kitamori, A. Eguchi, Y. Fuchikawa and S. Kurogi, &#8221;&nbsp;<strong>Integration of Color and Range Image for Plant Recognition<\/strong>,&#8221; Proc. of ISPACS2003, pp. 219-224, 2003.&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2003\/b2-6.pdf\">&nbsp;<\/a>( modified version:&nbsp;<a href=\"http:\/\/lab.cntl.kyutech.ac.jp\/~nishida\/paper\/2003\/SensorEng3_m.pdf\"><\/a><br><\/li><li>[16] Y. Fuchikawa, S. Kurogi and T. Nishida, &#8221;&nbsp;<strong>A Fast and Robust Image Matching Method Using Sign of Laplacian of Gaussian and Vector Quantization Net<\/strong>,&#8221; Proc. of ISPACS2003, pp. 260-265, 2003.<br><\/li><li>[15] S. Kurogi, Y. Fuchikawa, T. Ueno, K. Matsuo and T. Nishida, &#8221;&nbsp;<strong>A Method to Measure 3D Positions of Elevator Buttons from a Mobile Robot Using a 2D Artificial Landmark, a Laser Navigation System and a Competitive Neural Net<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2002, pp. 2122-2126, 2002.<br><\/li><li>[14] S. Kurogi, T. Sasaki, M. Itakura and T. Nishida, &#8221;&nbsp;<strong>Multilayered and columnar competitive networks for spoken word recognition<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2002, pp. 2223-2227, 2002.<br><\/li><li>[13] S. Kurogi, H. Sakamoto, H. Nobutomo, Y. Fuchikawa, T. Nishida, M. Mimata and K. Itoh, &#8221;&nbsp;<strong>Asymptotic Minimization of the Approximation Error of Competitive Associative Nets and its Application to Temperature Control of RCA Cleaning Solutions<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2002, vol. 4, pp. 1900-1904, 2002.<br><\/li><li>[12] T. Nishida, S. Kurogi and T. Kitamori, &#8221;&nbsp;<strong>Feature Extraction of Wild Grass by Competitive Neural Nets<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2002, vol. 2, pp. 696-700, 2002.<br><\/li><li>[11] S. Kurogi, Y. Fuchikawa, T. Ueno, K. Matsuo and T. Nishida, &#8221;&nbsp;<strong>Visual Measurement of 3D Positions of Elevator Buttons From a Mobile Robot Using a Competitive Neural Net For Pattern Recognition Invariant to Projective Transformations<\/strong>,&#8221; Proc. of SCI2002, pp. 374-379, 2002. (&nbsp;<strong>This paper selected as the best paper.<\/strong>)<br><\/li><li>[10] T. Nishida, S. Kurogi and T. Saeki, &#8221;<strong>An analysis of competitive and reinitialization learning for adaptive vector quantization<\/strong>, &#8221; Proc. of IJCNN2001, pp. 978-983, 2001.<br><\/li><li>[9] S. Kurogi, M. Itakura and T. Nishida, &#8221;<strong>Cascading Layers of Competitive Associative Nets and Adaptive Vector Quantization Nets for Speaker Independent Word Recognition<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2001, pp. 393-398, 2001.<br><\/li><li>[8] S. Kurogi, T. Nishida and K. Yamamoto, &#8221;<strong>Image Transformation of Local Features for Rotation Invariant Pattern Matching<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2001, pp. 693-698, 2001.<br><\/li><li>[7] S. Kurogi, H. Nobutomo, T. Nishida, H. Sakamoto, Y. Fuchikawa, M. Mimata and K. Itoh, &#8221;<strong>An Analysis of Competitive Associative Net for Temperature Control of RCA Cleaning Solutions<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2001, pp. 957-962, 2001.<br><\/li><li>[6] S. Kurogi, T. Nishida, T. Sakamoto, K. Ito and M. Mimata, &#8221;&nbsp;<strong>A simplified competitive associative net and a model-switching predictive controller for temperature control of chemical solutions<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing2000, Vol. 2, pp. 791-796, 2000.<br><\/li><li>[5] S. Kurogi and T. Nishida, &#8221;&nbsp;<strong>Competitive learning using gradient and reinitialization methods for adaptive vector quantization<\/strong>,&#8221; Proc. of NNSP2000, pp.281-288 2000.<br><\/li><li>[4] T. Nishida and S. Kurogi, &#8221;<strong>An analysis of a multi-layered competitive net for invariant pattern recognition<\/strong>,&#8221; Proc. of NNSP2000, pp. 346-355, 2000.<br><\/li><li>[3] T. Nishida and S. Kurogi,&#8221;&nbsp;<strong>A multi-layered competitive net for pattern recognition invariant to linear and\/or nonlinear coordinate transformations<\/strong>,&#8221; Proc. of NOLTA&#8217;99, Vol. 1, pp. 139-142, 1999.<br><\/li><li>[2] S. Kurogi, H. Hirata, T. Nishida and T. Sakamoto &#8221;&nbsp;<strong>Model-Switching Adaptive Control Using Competitive Associative Net<\/strong>,&#8221; Proc. of NOLTA&#8217;99, Vol. 2, pp. 755-758, 1999.<br><\/li><li>[1] S. Kurogi, T. Nishida and S. Ren, &#8221;<strong>Recognition of hand-written characters by a multi-layered competitive net<\/strong>,&#8221; Proc. of International Conference on Neural Information Processing&#8217;98, Vol. 2, pp. 1086-1089, 1998.<\/li><\/ul>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u4ee3\u8868\u3000 \u897f\u7530\u3000\u5065\uff08Nishida Takeshi\uff09 \u7d4c\u6b74\u3000 2002\u5e743\u6708\u3000\u535a\u58eb\uff08\u5de5\u5b66\uff09\u4e5d\u5dde\u5de5\u696d\u5927\u5b66 2002\u5e744\u6708\u3000\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u3000\u52a9\u624b 2013\u5e744\u6708\u3000\u4e5d\u5dde\u5de5\u696d\u5927\u5b66\u5de5\u5b66\u90e8\u3000\u51c6\u6559\u6388 2016\u5e746\u6708\u3000\u30d5\u30e9\u30f3\u30b9\u56fdLOR [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nishidalab.com\/index.php?rest_route=\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nishidalab.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nishidalab.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nishidalab.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nishidalab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6"}],"version-history":[{"count":6,"href":"https:\/\/nishidalab.com\/index.php?rest_route=\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":65,"href":"https:\/\/nishidalab.com\/index.php?rest_route=\/wp\/v2\/pages\/6\/revisions\/65"}],"wp:attachment":[{"href":"https:\/\/nishidalab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}