会社概要

代表　

西田　健（Nishida Takeshi）

経歴　

2002年3月　博士（工学）九州工業大学
2002年4月　九州工業大学工学部　助手
2013年4月　九州工業大学工学部　准教授
2016年6月　フランス国LORIA研究所、ロレーヌ大学　客員研究員
2016年8月　イタリア国サレント大学　客員研究員
2019年4月　KiQ Robotics株式会社創設　取締役CTO
2020年4月　九州工業大学オープンイノベーション推進機構　特任教授
2021年5月  KiQ Robotics株式会社 テクニカルフェロー

書籍

  1. Takeshi Nishida, Masayuki Obata, Hidekazu Miyagawa and Fujio Ohkawa, “Development of a Sensor System for an Outdoor Service Robot,” Ho Seok Ahn(Ed.), Advances in Service Robotics, pp. 193-218, Chapter 12, 2008.
  2. Takeshi Nishida, Shuichi Kurogi, Koichi Yamanaka, Wataru Kogushi, Yuichi Arimura, “Development of Pilot Assistance System with Stereo Vision for Robot Manipulation,” Xiong Zhihui(Ed.), Computer Vision, pp. 282-302, Chapter 17, 2008. 
  3. 西田 健, 坂本 哲三, “フィルム搬送および巻取りにおける速度と張力の制御”, 「“ウェブ” ロールtoロールの搬送、巻取り技術　　そのトラブル発生メカニズムと対策」, 技術情報協会, pp. 47-56, 11月29日, 2013.
  4. 西田 健, “自動運転のためのLIDARによる三次元環境計測技術”, 「車載センシング技術の開発とADAS，自動運転システムへの応用」,第5章第3節，pp. 184-195, 技術情報協会, 5月31日, 2017.
  5. 西田 健, “システム制御における張力制御”, 「ウェブ搬送プロセスにおける制御技術とトラブル対策」,第3章， pp.67-88, R&D, ISBN 987-4-905507-23-9, 2018.
  6. 西田 健, “次世代産業ロボットのためのAIとクラウド技術”,「“人工知能”の導入による生産性、効率性の向上、新製品開発への活用」, 第13章, 4節, pp. 298-305, ISBN 978-4-86104-713-8, 技術情報協会, 2018年5月31日.
  7. 西田 健, 森田 賢, 岡田 浩之, 原 祥尭, 山崎 公俊, 垣内 洋平, 田向 権, 齋藤 功, 大川 一也, 田中 良道, 有田 裕太, 石田 裕太郎, 「実用ロボット開発のためのROSプログラミング」, 森北出版, 2018年10月13日. 
  8. 西田 健, パーティクルフィルタを用いたセンサデータの統合と推定技術, 第7章第1節, 「センサーフュージョン」,技術情報協会, 2019年1月. 

原著論文

  • [31] 横田, 本田, 山福, 西田, 池永, 森, 松永, 丸山, 吉田, 長田, “産業用ロボット制御への第5世代移動通信システムの適用,” 電気学会論文誌D, Vol. 140, No. 4, 2020.
  • [30] Thibault Barbié, Takaki Nishio, and Takeshi Nishida, “Trajectory Prediction with a Conditional Variational Autoencoder,” J. Robot. Mechatron., Vol. 31, No. 3, pp. 493-499, 2019.
  • [29] 西田 健, “産業用ロボットのためのソフトグリッパ,” 日本ロボット学会誌, pp.42-45, Vol.37, No.1, 2019.
  • [28] 津上 祐典, 桑野 僚大, 西田 健, “磁力を用いる構造が簡単な柔軟ロボットグリッパ,” 日本ロボット学会誌, Vol. 36, No. 8, pp. 520-524, 2018. 
  • [27] Tetsuo Tomizawa, Masato Shibuya, Ryodo Tanaka, Takeshi Nishida, “Developing a Remotely Operated Portable Mobile Robot,” Journal of Robotics and Mechatronics, Vol.30 No.4 pp. 584-590, doi: 10.20965/jrm.2018.p0584, 2018.
  • [26] Masaya Inoue, Sozo Inoue, Takeshi Nishida, “Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput,” Artificial Life and Robotics, Vol. 23, Iss. 2, pp 173–185, June 2018.
  • [25] Thibault Barbié, Ryo Kabutan, Ryodo Tanaka, T. Nishida, ” Gaussian Mixture Spline Trajectory: Learning From a Dataset, Generating Trajectories Without One,” Advanced Robotics, Vol. 32, Iss. 10, pp. 547-558, 2018.
  • [24-1] Ryo Kabutan, Takeshi Nishida, ” Motion Planning by T-RRT with Potential Function for Vertical Articulated Robots,” Electrical Engineering in Japan, DOI10.1002/eej.23103, April 2018.

    [24-2] 株丹 亮, 西田 健, ” ポテンシャル関数を組み込んだT-RRTによる垂直多関節ロ ボットの経路探索,” 電気学会論文誌C, pp. 165-172, Vol.138, No.2. 2018.  
  • [23] Masaru Morita, Takeshi Nishida, Yuta Arita, Mirei Shige-eda, Enrico di Maria, Roberto Gallone, and Nicola Ivan Giannoccaro, ” Development of Robot for 3D Measurement of Forest Environment,” Journal of Robotics and Mechatronics, Vol.30 No.1, pp. 145-154, February 20, 2018. 
  • [22] Masaru Morita, Takeshi Nishida, ” Development of state estimation filter simulator built on an integrated GUI framework,” Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.20, No.5, pp.721-729, 2016.
  • [21] Takeshi Nishida, Yuki Okatani, Kenjiro Tadakuma, ” Development of Universal Robt Gripper Using MRα Fluid,” International Journal of Humanoid Robotics, Vol.13, No.4, 16500171(13 pages), 2016. 
  • [20] S. Oomori, T. Nishida, S. Kurogi, ” Point Cloud Matching Using Singular Value Decomposition,” Artificial Life and Robotics, Vol. 21, Issu. 2, pp. 149-154, 2016.
  • [18] 西田健, 黒木秀一, “対応関係が不明な3次元点集合間の回転行列の推定,” 日本ロボット学会誌, Vol. 31, No. 6, pp. 624-627. 2013. 
  • [17] 西田健, “パーティクルフィルタを用いる状態フィードバック制御,” 電気学会論文誌 C, Vol. 133. No. 7, pp. 1376-1383, 2013.  

    [17-2] Takeshi Nishida, ” State Feedback Control using Particle Filter,” Electronics and Communications in Japan, Vol. 98, Issue 6, pp. 16-25, June, 2015.  
  • [16] 西田 健, 相良 慎一, 武村 史朗, ” パーティクルフィルタによる海底生物の追跡,” 電気学会論文誌 D, Vol.133, No.2, pp.116-125, 2013.  .
  • [15] Nicola Ivan Giannoccaro, Takeshi Nishida, Tetsuzo Sakamoto, “Decentralized Control Performances of an Experimental Web Handling System,” International Journal of Advanced Robotic Systems, Vol.9, 141:2012, 2012. 
  • [14-1] 西田 健, “時変関数に適応するためのABCアルゴリズムの修正,” 電気学会論文誌 C, Vol.132, No. 4, pp. 584-591, 2012.  

    [14-2] Takeshi Nishida, ” Modification of ABC Algorithm for Adaptation to Time-Varying Functions,” Electronics and Communications in Japan, Vol. 96, Issu. 11, pp. 44-53, Nov. 2013.  
  • [13] 西田 健, 生駒 哲一, 黒木 秀一, 坂本 哲三, ” パーティクルフィルタと適応ベクトル量子化による柔軟変形物体の追跡と特徴量抽出,” 電気学会論文誌 C, Vol. 131, No. 12, pp. 2196-2203, 2011.  
  • [12-1] 西田 健, 坂本 哲三, ニコラ イバン ジアノカッロ, ” 適応PSOを用いるセルフチューニングPIコントローラによるウェブ搬送系の重複分割分散制御,” 電気学会論文誌 D, Vol. 131, No. 12, pp. 1442-1450, 2011. 

    [12-2] Takeshi Nishida, Tetsuzo Sakamoto, Nicola Ivan Giannoccaro, ” Self-Tuning PI Control Using Adaptive PSO of a Web Transport System with Overlapping Decentralized Control,” Electronical Engineering in Japan, Vol.184, Iss.1, pp.56-65, 2013.  
  • [11-1] 西田 健, 坂本 哲三, ” 時変システムのオンライン同定のための適応PSO,” 電気学会論文誌 C, Vol. 131, No. 9, pp. 1642-1649, 2011.  

    [11-2] Takeshi Nishida, Tetsuzo Sakamoto, ” Adaptive PSO for Online Identification of Time-Varying Systems,” Electronics and Communications in Japan, Vol. 95, Iss. 7, pp. 10-18, 2012. 
  • [10] 西田 健, 生駒 哲一, 黒木 秀一, 坂本 哲三, ” パーティクルフィルタと適応ベクトル量子化による事後確率分布からの高次情報の特性値抽出,” 電子情報通信学会論文誌, Vol. J94-D, No. 2, pp. 450-459, Feb. 2011.  
  • [9] 小畑 昌之, 西田 健, 宮河 秀和, 大川 不二夫, ” パーティクルフィルタを組み込んだパラメトリック固有空間法による三次元物体の検知・姿勢推定・追跡の同時実行,” 電気学会論文誌 C, Vol. 129, No. 5, pp. 838-845, 2009. 
  • [8] 黒木 秀一, 西田 健, ” 競合連想ネットによる距離画像からの平面抽出,” 日本神経回路学会誌, Vol. 14, No. 4, pp. 273-281, 2007.
  • [7] 黒木 秀一, 西田 健, 渕川 康裕, ” バッチ学習型競合連想ネットとその性質,” 計測自動制御学会論文誌, Vol. 42, No. 8, pp. 916-925, 2006.  
  • [6] 小畑 昌之, 西田 健, 宮河 秀和, 近藤 隆史, 大川 不二夫, ” 投棄ゴミの回収を行う屋外サービスロボットの開発,” 電気学会論文誌 C, Vol. 126, No. 7, pp. 840-848, 2006.  (modified version)
  • [5] 渕川 康裕, 黒木 秀一, 松尾 克宏, 宮本 俊一郎, 西田健, ” ガイドポストと一台のカメラを用いる移動ロボットナビゲーション,” 計測自動制御学会論文集, Vol. 42, No. 1, pp. 62-69, 2006.  
  • [4] 黒木 秀一, 西田 健, 信友 宏樹, 坂本 貴子, 三股 充, 伊藤 勝美, ” RCA洗浄システムの熱モデルと洗浄液の適応予測温度制御,” 計測自動制御学会論文集, Vol. 37, No. 8, pp. 754-762, 2001.  
  • [3] 黒木 秀一, 西田 健, ” 複数のモデルの学習と切り替えを行う競合連想ネットを用いる適応予測制御,” 計測自動制御学会論文集, Vol. 37, No. 3, pp. 203-212, 2001.  
  • [2-1] 西田 健, 黒木 秀一, 佐伯 知則, “再初期化法を用いた適応ベクトル量子化,” 電子情報通信学会論文誌 (D-II), Vol. J84-D-II, No. 7, pp. 1503-1511, Jul. 2001.  

    [2-2] T. Nishida, S. Kurogi and T. Saeki, ” Adaptive Vector Quantization Using Reinitialization Method,” Electronics and Communications in Japan, Part 2: Electronics, Vol. 88, No. 5, pp. 60-69, 2005.
  • [1] 西田 健, 黒木 秀一, ” 多層競合ネットによる座標変換に不変なパターン認識,” 日本神経回路学会誌, Vol.7, No. 4, pp. 106-114, 2000. 

査読付き国際会議論文

  • [84] Sora Honda and Takeshi Nishida, “Six Degree-of-Freedom Object Recognition Using Point Cloud with 3D-CNN Learning in Cyberspace,” Proc. of 25th International Symposium on Artificial Life and Robotics, pp. 469-473, 2020.
  • [83] Masaru Morita, Yuta Arita, Ryodo Tanaka, and Takeshi Nishida, “Development of Autonomous Mobile Robot for Real-World Robot Challenge (Tsukuba Challenge) by Applying ROS,” Proc. of 25th International Symposium on Artificial Life and Robotics, pp. 365-370, 2020.
  • [82] Masaru Morita and Takeshi Nishida, “Fault Detection Using Particle Filter and Likelihood Ratio,” Proc. of 25th International Symposium on Artificial Life and Robotics, pp. 294-298, 2020.
  • [81] Masaru Morita and Takeshi Nishida, “Noise Removal of Depth Sensor Using Particle Filter,” proc. of 2020 IEEE/SICE International Symposium on System Integration (SII), Jan., 12-15, 2020.
  • [80] Tomohiro Kuwano and Takeshi Nishida, “Development of Flexible Robot Gripper Holding Deformatin by Electromagnetic Brake,” Proc. of International Conference on Control Automation and Systems, pp. 690-693, 2019. 
  • [79] Atsuki Yokota, Sora Honda, Kei Yamafuku, Takeshi Nishida, Takeshi Ikenaga, Naoki Mori, Akira Matsunaga, Kakeru Maruyama, Kyohiro Yoshida, and Shintaro Osada, “Development of Industrial Robot System with 5th Generation Mobile Communication System,” Proc. of International Conference on Control, Automation and Systems, pp. 851-855, 2019. 
  • [78] Jiawei Niu, Thibault Barbie;, and Takeshi Nishida, “Generating Trajectories Using Conditional Information Maximizing Generative Adversarial Network,” 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.
  • [77] T. Nishio, T. Nishida, “Specific Object Recognition and Tracking by Cascade Connection of Different Types of CNNs and a Time-series Filter,” Proc. of International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2018) , pp. 7-11, Nov. 28, 2018. 
  • [76] Takahiro Yamashita, Takeshi Nishida, “Path Planning using Multilayer Neural Network and Rapidly-exploring Random Tree,” Proc. of International Conference on Control, Automation and Systems (ICCAS 2018), pp. 489-493, Oct. 17–20, GangWon, Korea, 2018. 
  • [75] T. Ninomiya, Y. Arita, R. Tanaka, T. Nishida, N. I. Giannoccaro, ” Automatic Calibration of Industrial Robot and 3D Sensors using Real-Time Simulator,” Proc. of ICT-ROBOT, TA2.3, Sep. 6-89, 2018. 
  • [74] Y. Tsugami, T. Barbié, K. Tadakuma, T. Nishida, ” Development of Universal Parallel Gripper Using Reformed Magnetorheological Fluid,” Proc. of The 2017 Asian Control Conference, pp. 778-783, Gold Coast, Australia, Dec. 17-20, 2017. 
  • [73] T. Barbié, T. Nishida, ” Trajectory Prediction using Conditiona Generative Adversial Network,” International Seminar on Artificial Intelligence, Networking and Information Technology, Bangkok, Dec. 4-5, 2017. 
  • [72] Y. Tsugami, T. Nishida, ” Simple Structure Gripper Using Electromagnet and Permanent Magnet,” Proc. of ICT-ROBOT, pp. 64-67, Nov. 25, 2017. 
  • [71] N. Tokudome, S. Ayukawa, S. Ninomiya, S. Enokida, T. Nishida, ” Development of Real-time Environment Recognition System using LiDAR for Autonomous Driving,” Proc. of ICT-ROBOT, pp. 1-4, Nov. 25, 2017. 
  • [70] M. Inoue, T. Yamashita, T. Nishida, ” Robot Path Planning by LSTM Network Under Changing Environment,” Proc. of The International Conference on Computational Sciences, Advanced Database and Computing, CS38, Thailand, Oct. 12, 2017. 
  • [69] T. Barbié, R. Kabutan, R. Tanaka, T. Nishida, ” Helping Optimization Based Planners: Generating Trajectories Seeds using Motion Datasets,” Proc. of ICRA2017 Workshop “AI in Automation”, Singapore, May 30, 2017.
  • [68] Y. Ogata, R Kabutan, T. Nishida, ” Parameter Optimization of Frequency Estimation by Distribution Using Particle Swarm Optimization,” Proc. of ICT-ROBOT, ThBT3.6, Pusan, Sep. 8, 2016. 
  • [67] Y. Arita, E. di Maria, R. Gallone, L. Capodieci, M. Morita, K. Okubo, N. I. Giannoccaro, M. Shige-eda, T. Nishida, ” Development of a Mobile Robot Platform for 3D Measurement of Forest Environment,” Proc. of ICT-ROBOT, ThBT3.5, Pusan, Sep. 8, 2016. 
  • [66] T. Barbié, T. Ryodo, R. Kabutan, T. Nishida, ” Real Time Object Position Estimation by Convolutional Neural Network,” Proc. of ICT-ROBOT, ThBT3.4, Pusan, Sep. 8, 2016. 
  • [65] S. Ayukawa, N. Tokudome, S. Enokida, T. Nishida, ” Time-series LIDAR Data Superimposition for Autonomous Driving,” Proc. of ICT-ROBOT, ThBT3.3, Pusan, Sep. 8, 2016. 
  • [64] R. Kabutan, R. Tanaka, S. Oomori, M. Morita, E. Inohira, K. Yoshida, H. Ohtake, T. Nishida, ” Development of robotic intelligent space using multiple RGB-D cameras for industrial robots,” Proc. of ICT-ROBOT, ThBT3.2, Pusan, Sep. 8, 2016. 
  • [63] K. Tominaga, T. Nishida, ” Parallel execution of SVOs for estimation of moving objects,” Proc. of ICT-ROBOT, ThBT3.1, Pusan, Sep. 8, 2016. 
  • [62] S. Oomori, T. Nishida S. Kurogi, ” Point Cloud Matching Using Singular Value Decomposition,” Proc. of International Symposium on Artificial Life and Robotics, Jan., pp. 451-454, 2015. 
  • [61] Y. Okatani, T. Nishida, K. Tadakuma, ” Development of Universal Robot Gripper Using MRα Fluid“, 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. 
  • [60] T. Nishida, D. Shigehisa, N. Kawashima, K. Tadakuma, ” Development of Universal Jamming Gripper with a Force Feedback Mechanism“, 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.
  • [59] N. Migita, S. Inoue, T. Yumiyama, T. Nishida, ” A Method for Tracking On-body Sensor Positions Utilizing Prior Knowledge“, Ubicomp Workshop for Human Activity Sensing Corupus and its Application, pp.758-766, Sep. 13, Seattle, USA, 2014.
  • [58] K. Shimada, T. Nishida, ” Particle Filter-Model Predictive Control of Quadcopter,” Proc. of International Conference on Advanced Mechatronic Systems, pp. 421-424, Tokai University, Kumamoto Campus, Japan, August 10-12, 2014. 
  • [57] T. Nishida, S. Inoue, S. Sagara, ” State estimation and control of a mobile robot using Kalman filter and particle filter,” Proc. of International Symposium on Artificial Life and Robotics, pp. 633-636, Jan., 2014.  
  • [56] S. Kurogi, K. Ono, T. Nishida, ” Experimental Analysis of Moments of Predictive Deviations as Ensemble Diversity Measures for Model Selection in Time Series Prediction,” Proc. of International Conference on Neural Information Processing, Part III, pp. 557-565, Nov., 2013.
  • [55] W. Huang, S. Kurogi, T. Nishida, ” Performance Improvement Via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals ,” Proc. of International Conference on Neural Information Processing, Part I, pp. 319-327, Nov., 2013.
  • [54] S. Kurogi, T. Ueki, Y. Mizobe, T. Nishida, ” Text-Prompted Multistep Speaker Verification Using Gibbs-Distribution-Based Extended Bayesian Inference for Reducing Verification Errors,” Proc. of International Conference on Neural Information Processing, Part III, pp. 184-192, Nov., 2013.
  • [53] Y. Mizobe, S. Kurogi, T. Tsukazaki, and T. Nishida, ” Multistep Speaker Identification Using Gibbs-Distribution-Based Extended Bayesian Inference for Rejecting Unregistered Speaker,” Proc. of International Conference on Neural Information Processing 2012, Part V, LNCS 7667, pp. 247-255. Springer, Heidelberg, 2012.
  • [52] K. Ono, S. Kurogi, T. Tsukazaki, and T. Nishida, ” Moments of Predictive Deviations as Ensemble Diversity Measures to Estimate the Performance of Time Series Prediction,” 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.
  • [51] W. Huang, S. Kurogi, and T. Nishida, ” Robust Controller for Flexible Specifications Using Difference Signals and Competitive Associative Nets ,” Proc. of International Conference on Neural Information Processing 2012, Part V, LNCS 7667, pp. 50-58. Springer, Heidelberg, 2012.
  • [50] S. Kurogi, S. Mineishi, T. Tsukazaki and T. Nishida, ” Bayesian Multistep Speaker Recognition Using Competitive Associative Nets,” Proc. of International Conference on Neural Information Processing, Part III, LNCS 7062, pp. 70-78, 2011.
  • [49] S. Kurogi, T. Nagi, S. Yoshinaga, H. Koya and T. Nishida, ” Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error,” Proc. of International Conference on Neural Information Processing, Part III, LNCS 7064, pp. 612-628, 2011.
  • [48] S. Kurogi, H. Yuno, T. Nishida and W. Huang, ” Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets,” Proc. of International Conference on Neural Information Processing, Part III, LNCS 7064, pp. 9-17, 2011.
  • [47] T. Nishida, T. Sakamoto, N.I.Giannoccaro, “A Self-Tuning PI Decentralized Control of Web Transport System,” Proc. of IECON, pp. 409-414, 2011.
  • [46] N.I.Giannoccaro, T. Nishida, T. Sakamoto, “Decentralized H infinity besed control of a web transport system,” pp. 8651-8656, Augu., Proc. of IFAC, 2011.
  • [45] S. Kurogi, T. Nagi, and T. Nishida, ” Range Image Registration Using Particle Filter and Competitive Associative Nets,” Proc. of International Conference on Neural Information Processing (International Conference on Neural Information Processing2010), Part II, LNCS 6444, pp.352-359 (2010.11)
  • [44] N. Ikoma, Y. Tanaka, Y. Inokuchi, I. Miyasita, K. Kawamoto, and T. Nishida, ” Car Driver’s Body Motion Estimation for Safety Driving using Particle Filter,” Proc. of ISCIIA2010, pp.17-25, 2010.
  • [43] T. Nishida, N. Ikoma, and S. Kurogi, ” Tracking and shape estimation of deformable object using particle filter and adaptive vector quantizer,” no.190, WAC2010, 2010.
  • [42] N. I. Giannoccaro, T. Sakamoto, and T. Nishida, ” Linear model validation for controlling a multi rollers high speed web system,” proc. of ICMEE, Vol. 2, pp. 455-459, 2010.
  • [41] T. Nishida, W. Kogushi, N. Takagi, and S. Kurogi, ” Dynamic State Estimation Using Particle Filter and Adaptive Vector Quantizer,” Proc. of CIRA 2009, pp. 429-434, 2009.
  • [40] S. Kurogi, H. Koya, R. Nagashima, D. Wakeyama, and T. Nishida, ” Range Image Registration Using Plane Extraction by the CAN2,” Proc. of CIRA 2009, pp. 546-550 ,2009.
  • [39] S. Kurogi, D. Wakeyama, H. Koya, S. Okada, S. Inoue and T. Nishida, ” Application of CAN2 to Plane Extraction from 3D Range Images,” Proc. of IJCNN 2008, pp. 2328-2333, 2008.
  • [38] S. Kurogi, Y. Koshiyama, D. Kuwahara, T. Nishida, M. Mimata and K. Itoh, “Model Switching Predictive Control Using Bagging CAN2 and First-Differense Signals for Temperature Control of RCA Cleaning Solutions,” Proc. of IJCNN 2008, pp. 2322-2327, 2008.
  • [37] M. Obata, T. Nishida, H. Miyagawa and F. Ohkawa, ” Robust Target Tracking Using Particle Filter and Parametric Eigenspace Method,” Proc. of SICE Annual Conference 2007, 2007.
  • [36] N. Takagi, T. Nishida and T. Kobayashi, ” Design of Adaptive Control Systems for Unstable Plants in the Presence of Input Saturation,” Proc. of SICE Annual Conference 2007, 2007.
  • [35] T. Nishida, S. Kurogi, Y. Takemura, H. Fukumoto, and S. Okada, ” Range Data Approximation for Mobile Robot by Using CAN2,” Proc. of IJCNN2007, 2007.

  • [34] M. Obata, T. Nishida, H. Miyagawa and F. Ohkawa, ” Target Tracking and Posture Estimation of 3D Objects by Using Particle Filter and Parametric Eigenspace Method,” Proc. of IPCV 2007, pp. 67-72, 2007. 
  • [33] N. Takagi, T. Nishida and T. Kobayashi, ” A Design of Adaptive Control System with Input Saturation,” Proc. of SICE-ICCAS 2006, pp. 984-987, 2006.
  • [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, ” Development of an Outdoor Service Robot,” Proc. of SICE-ICCAS 2006, pp. 2052-2057, 2006. 
  • [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, ” Development of Sensor System for Outdoor Service Robot,” Proc. of SICE-ICCAS 2006, pp. 2687-2691, 2006. 
  • [30] T. Nishida, H. Koga, Y. Fuchikawa, Y. Kitayama, S. Kurogi and Y. Arimura, ” Development of Pilot Assistance System with Stereo Vision for Robot Manipulation,” Proc. of SICE-ICCAS 2006, pp. 2675-2680, 2006.
  • [29] S. Kurogi, S. Tanaka, R. Koyama and T. Nishida, ” Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units,” Proc. of International Conference on Neural Information Processing2006, LNSC 4234, pp. 698-707, 2006.
  • [28] S. Kurogi, D. Kuwahara, H. Tomisaki, T. Nishida, M. Mimata and K. Itoh, ” Ensemble of Competitive Associative Nets for Stable Learning Performance in Temperature Control of RCA Cleaning Solutions,” Proc. of International Conference on Neural Information Processing2006, LNCS 4232, pp. 563-571, 2006.
  • [27] S. Kurogi, T. Nishida, S. Tanaka and Y. Fuchikawa, ” Cross-Validation and Boostrap for Optimizing the Number of Units of Competitive Associative Nets,” Proc. of International Conference on Neural Information Processing 2005, pp. 410-415, 2005.
  • [26] Y. Sakai, T. Nishida, S. Kurogi, A. Eguchi and Y. Fuchikawa, ” Piecewise Linear Approximation of Range Data using Batch Learning Competitive Associative Net,” Proc. of International Conference on Neural Information Processing2005, pp. 202-207, 2005.
  • [25] H. Tomisaki, S. Kurogi, N. Araki, T. Nishida, Y. Fuchikawa, M. Mimata and K. Itoh ” Cross-validation of Competitive Associative Nets for Stable Temperature Control of RCA Cleaning Solutions,” Proc. of International Conference on Neural Information Processing2005, pp. 166-170, 2005.
  • [24] T. Kondo, T. Nishida, M. Obata and F. Ohkawa, ” A Research Report about The Outdoor Service Robot OSR-01 ,” Proc. of The 1st International Conference on Design Engineering and Science Vienna, pp. 271-275, 2005.
  • [23] Y. Fuchikawa, T. Nishida, S. Kurogi, T. Kondo, F. Ohkawa, T. Suehiro, Y. Watanabe, Y. Kawamura, M. Obata, H. Miyagawa and Y. Kihara, ”Development of a Vision System for an Outdoor Service Robot to Collect Trash on Streets,” Proc. of CGIM05, pp.100-105, 2005.
  • [22] T. Nishida, S. Yamada, A. Eguchi, Y. Fuchikawa and S. Kurogi ” Range Data Matching for Object Recognition Using Singular Value Decomposition,” Proc. of SCI2004, vol. 5, pp.29-34, 2004. ( This paper selected as the best paper.) 
  • [21] S. Kurogi, N. Araki, H. Miyamoto, Y. Fuchikawa and T. Nishida, ” Temperature Control of RCA Cleaning Solutions Using Batch Learning Competitive Associative Net,” Proc. of SCI2004, vol. 5, pp.18-23, 2004.
  • [20] Y. Fuchikawa, S. Kurogi, K. Matsuo, S. Miyamoto and T. Nishida, ” A Vision-Based Navigation System Using Guideposts for Mobile Robot,” Proc. of SCI2004, vol. 5, pp.6-11, 2004.
  • [19] T. Amano, S. Kurogi, A. Eguchi, T. Nishida and Y. Fuchikawa, ” A Neural Network Model for Storing and Retrieving 2D Images of Rotated 3D Object Using Principal Components,” Proc. of SCI2004, vol. 5, pp.1-5, 2004.
  • [18] T. Kondo, K. Tanaka, F. Ohkawa, T. Nishida and M. Oya, ” Development of Weeding Robot System,” Proc. of ISBS2004, Part V Robotics and Motion Control, pp.27-31, 2004.
  • [17] T. Nishida, T. Kitamori, A. Eguchi, Y. Fuchikawa and S. Kurogi, ” Integration of Color and Range Image for Plant Recognition,” Proc. of ISPACS2003, pp. 219-224, 2003.  ( modified version: 
  • [16] Y. Fuchikawa, S. Kurogi and T. Nishida, ” A Fast and Robust Image Matching Method Using Sign of Laplacian of Gaussian and Vector Quantization Net,” Proc. of ISPACS2003, pp. 260-265, 2003.
  • [15] S. Kurogi, Y. Fuchikawa, T. Ueno, K. Matsuo and T. Nishida, ” 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,” Proc. of International Conference on Neural Information Processing2002, pp. 2122-2126, 2002.
  • [14] S. Kurogi, T. Sasaki, M. Itakura and T. Nishida, ” Multilayered and columnar competitive networks for spoken word recognition,” Proc. of International Conference on Neural Information Processing2002, pp. 2223-2227, 2002.
  • [13] S. Kurogi, H. Sakamoto, H. Nobutomo, Y. Fuchikawa, T. Nishida, M. Mimata and K. Itoh, ” Asymptotic Minimization of the Approximation Error of Competitive Associative Nets and its Application to Temperature Control of RCA Cleaning Solutions,” Proc. of International Conference on Neural Information Processing2002, vol. 4, pp. 1900-1904, 2002.
  • [12] T. Nishida, S. Kurogi and T. Kitamori, ” Feature Extraction of Wild Grass by Competitive Neural Nets,” Proc. of International Conference on Neural Information Processing2002, vol. 2, pp. 696-700, 2002.
  • [11] S. Kurogi, Y. Fuchikawa, T. Ueno, K. Matsuo and T. Nishida, ” Visual Measurement of 3D Positions of Elevator Buttons From a Mobile Robot Using a Competitive Neural Net For Pattern Recognition Invariant to Projective Transformations,” Proc. of SCI2002, pp. 374-379, 2002. ( This paper selected as the best paper.)
  • [10] T. Nishida, S. Kurogi and T. Saeki, ”An analysis of competitive and reinitialization learning for adaptive vector quantization, ” Proc. of IJCNN2001, pp. 978-983, 2001.
  • [9] S. Kurogi, M. Itakura and T. Nishida, ”Cascading Layers of Competitive Associative Nets and Adaptive Vector Quantization Nets for Speaker Independent Word Recognition,” Proc. of International Conference on Neural Information Processing2001, pp. 393-398, 2001.
  • [8] S. Kurogi, T. Nishida and K. Yamamoto, ”Image Transformation of Local Features for Rotation Invariant Pattern Matching,” Proc. of International Conference on Neural Information Processing2001, pp. 693-698, 2001.
  • [7] S. Kurogi, H. Nobutomo, T. Nishida, H. Sakamoto, Y. Fuchikawa, M. Mimata and K. Itoh, ”An Analysis of Competitive Associative Net for Temperature Control of RCA Cleaning Solutions,” Proc. of International Conference on Neural Information Processing2001, pp. 957-962, 2001.
  • [6] S. Kurogi, T. Nishida, T. Sakamoto, K. Ito and M. Mimata, ” A simplified competitive associative net and a model-switching predictive controller for temperature control of chemical solutions,” Proc. of International Conference on Neural Information Processing2000, Vol. 2, pp. 791-796, 2000.
  • [5] S. Kurogi and T. Nishida, ” Competitive learning using gradient and reinitialization methods for adaptive vector quantization,” Proc. of NNSP2000, pp.281-288 2000.
  • [4] T. Nishida and S. Kurogi, ”An analysis of a multi-layered competitive net for invariant pattern recognition,” Proc. of NNSP2000, pp. 346-355, 2000.
  • [3] T. Nishida and S. Kurogi,” A multi-layered competitive net for pattern recognition invariant to linear and/or nonlinear coordinate transformations,” Proc. of NOLTA’99, Vol. 1, pp. 139-142, 1999.
  • [2] S. Kurogi, H. Hirata, T. Nishida and T. Sakamoto ” Model-Switching Adaptive Control Using Competitive Associative Net,” Proc. of NOLTA’99, Vol. 2, pp. 755-758, 1999.
  • [1] S. Kurogi, T. Nishida and S. Ren, ”Recognition of hand-written characters by a multi-layered competitive net,” Proc. of International Conference on Neural Information Processing’98, Vol. 2, pp. 1086-1089, 1998.