ISHII Kazuo

写真a

Title

Professor

Laboratory

2-4 Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka

Research Fields, Keywords

Field Robot, Underwater Robot, Neural Network

E-mail

E-mail address

Phone

+81-93-695-6102

Fax

+81-93-695-6102

Undergraduate Education 【 display / non-display

  • 1991.03   The University of Tokyo   Faculty of Engineering   Department of Naval Architecture and Ocean Engineering   Graduated   JAPAN

Post Graduate Education 【 display / non-display

  • 1996.09  The University of Tokyo  Graduate School, Division of Engineering  Doctoral Program  Completed  JAPAN

Degree 【 display / non-display

  • The University of Tokyo -  Doctor of Engineering  1996.09

Biography in Kyutech 【 display / non-display

  • 2018.04
    -
    Now

    Kyushu Institute of TechnologyCenter for Socio-Robotic Synthesis  

  • 2015.04
    -
    Now

    Kyushu Institute of TechnologyOrganization for Promotion of Research and Innovation  

  • 2014.04
    -
    Now

    Kyushu Institute of TechnologyGraduate School of Life Science and Systems Engineering   Department of Human Intelligence Systems   Professor  

  • 2011.04
    -
    2015.03

    Kyushu Institute of TechnologyCollaboration Center  

  • 2011.04
    -
    2014.03

    Kyushu Institute of TechnologyGraduate School of Life Science and Systems Engineering   Department of Brain Science and Engineering   Professor  

Biography before Kyutech 【 display / non-display

  • 2003.04
    -
    2004.03

    Fraunhofer AIS   Visiting Researcher   GERMANY

  • 1998.04
    -
    Now

    IIS Univ. of Tokyo   Researcher   JAPAN

  • 1996.10
    -
    1996.11

    IIS Univ. of Tokyo   Researcher   JAPAN

Academic Society Memberships 【 display / non-display

  • 2001.04
    -
    Now
     

    The Japan Society of Mechanical Engineers  JAPAN

  • 1995.04
    -
    Now
     

    The Robotics Society of Japan  JAPAN

  • 1995.04
    -
    Now
     

    The Institute of Electrical and Electronics Engineers, Inc.  UNITED STATES

  • 1994.04
    -
    Now
     

    The Society of Instrument and Control Engineers(SICE)  JAPAN

Specialized Field (scientific research fund) 【 display / non-display

  • Intelligent mechanics/Mechanical systems

  • Naval and maritime engineering

 

Publications (Article) 【 display / non-display

  • Image mosaicing using multi-modal images for generation of tomato growth state map

      30 ( 2 ) 187 - 197   2018.04  [Refereed]

     View Summary

    © 2018, Fuji Technology Press. All rights reserved. Due to the aging and decreasing the number of workers in agriculture, the introduction of automation and precision is needed. Focusing on tomatoes, which is one of the major types of vegetables, we are engaged in the research and development of a robot that can harvest the tomatoes and manage the growth state of tomatoes. For the robot to automatically harvest tomatoes, it must be able to automatically detect har-vestable tomatoes positions, and plan the harvesting motions. Furthermore, it is necessary to grasp the positions and maturity of tomatoes in the greenhouse, and to estimate their yield and harvesting period so that the robot and workers can manage the tomatoes. The purpose of this study is to generate a tomato growth state map of a cultivation lane, which consists of a row of tomatoes, aimed at achieving the automatic harvesting and the management of tomatoes in a tomato greenhouse equipped with production facilities. Information such as the positions and maturity of the tomatoes is attached to the map. As the first stage, this paper proposes a method of generating a greenhouse map (a wide-area mosaic image of a tomato cultivation lane). Using the infrared image eases a correspondence point problem of feature points when the mosaic image is generated. Distance information is used to eliminate the cultivation lane behind the targeted one as well as the background scenery, allowing the robot to focus on only those tomatoes in the targeted cultivation lane. To verify the validity of the proposed method, 70 images captured in a greenhouse were used to generate a single mosaic image from which tomatoes were detected by visual inspection.

    DOI Scopus

  • Vision system for an autonomous underwater vehicle with a benthos sampling function

      30 ( 2 ) 248 - 256   2018.04  [Refereed]

     View Summary

    © 2018, Fuji Technology Press. All rights reserved. We developed a vision system for an autonomous underwater robot with a benthos sampling function, specifically sampling-autonomous underwater vehicle (AUV). The sampling-AUV includes the following five modes: preparation mode (PM), observation mode (OM), return mode (RM), tracking mode (TM), and sampling mode (SM). To accomplish the mission objective, the proposed vision system comprises software modules for image acquisition, image enhancement, object detection, image selection, and object tracking. The camera in the proposed system acquires images in intervals of five seconds during OM and RM, and in intervals of one second during TM. The system completes all processing stages in the time required for image acquisition by employing high-speed algorithms. We verified the effective operation of the proposed system in a pool.

    DOI Scopus

  • Underwater platform for intelligent robotics and its application in two visual tracking systems

      30 ( 2 ) 238 - 247   2018.04  [Refereed]

     View Summary

    © 2018, Fuji Technology Press. All rights reserved. A hovering-type autonomous underwater vehicle (AUV) capable of cruising at low altitudes and observing the seafloor using only mounted sensors and payloads was developed for sea-creature survey. The AUV has a local area network (LAN) interface for an additional payload that can acquire navigation data from the AUV and transmit the target value to the AUV. In the handling process of the state flow of an AUV, additional payloads can control the AUV position using the transmitted target value without checking the AUV condition. In the handling process of the state flow of an AUV, additional payloads can control the AUV position using the transmitted target value without checking the AUV condition. In this research, water tank tests and sea trials were performed using an AUV equipped with a visual tracking system developed in other laboratories. The experimental results proved that additional payload can control the AUV position with a standard deviation of 0.1 m.

    DOI Scopus

  • Slip model of roller driven ball

    Kenji Kimura, Shota Chikushi, Kazuo Ishii

    Proc. of The 2018 International Conference on Artificial ALife and Robotics      4 pages   2018.02  [Refereed]

    別府  2018.02  -  2018.02

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Conference Prsentations (Oral, Poster) 【 display / non-display

  • Development of navigation system for AUV

    MASUDA Koji, FUJIWARA Shinya, ISHII Kazuo

    Robomech  2017.01  -  2017.01 

    CiNii

  • Strategy Analysis by Self-Organizing Map Using player's positioning

    TOMINAGA Moeko, TAKEMURA Yasunori, ISHII Kazuo

    Robomech  2017.01  -  2017.01 

    CiNii

  • Vision-Based Behavior Strategy for Tomato Harvesting Robot (III):- Feature point matching for mosaic image generation expressing cultivation environment-

    FUJINAGA Takuya, YASUKAWA Shinsuke, Li Binghe, ISHII Kazuo

    Robomech  2017.01  -  2017.01 

    CiNii

  • Research and development for long-term deployment of autonomous underwater vehicle

    NAKAMURA Keisuke, NAKANISHI Ryota, ISHII Kazuo, SONODA Takashi

    Robomech  2017.01  -  2017.01 

    CiNii

  • Object tracking based on data integration by autonomous soccer robots

    GONDAI Takuhiro, SHIMADA Ryota, ISHII Kazuo

    Robomech  2017.01  -  2017.01 

    CiNii

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Lectures 【 display / non-display

  • 水中ロボットによる駿河湾沖海底生物自動サンプリングの成果報告 〜水中構造物調査への適用について〜

    第18回建設ロボットシンポジウム ( 東京 )  2018.09.13  建設ロボット協議会

  • New Tool to Access Deep-Sea Floor Sampling-AUV

    The 2017 International Conference on Artificial Life and Robotics   2017.01.20 

  • A New Tool to Challenge Deep-Sea

    ICCMEH2016   2016.12.17 

  • カーロボ連携大学院総合実習通じたロボット制御教育について MATLAB/Simulink活用したロボカップサッカーロボットの制御

    自動制御連合講演会 ( 北九州 )  2016.11.11  SICE

  • トマトロボット競技会の提案 ―ロボット技術の農業分野への導入による新たな技術展開の模索―

    農業食料工学会九州支部例会 ( 福岡 )  2016.09.07  農業食料工学会九州支部

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Honors and Awards 【 display / non-display

  • Young Author Award

    2018.02.01     JAPAN

    Winner: Takuya Fujinaga

  • Best Student Paper Award

    2017.09.06     JAPAN

    Winner: Takuya Fujinaga

  • Best Paper Award

    2017.01.21     JAPAN

    Winner: Takashi Sonoda, Kazuo Ishii, Amir Ali Forough Nassiraei, Ivan Godler, Tharindu Weerakoon,

  • Best Student Poster Award

    2016.04.13     JAPAN

    Winner: Ahn Jonghyun

  • Best Paper Award of ICIIS2015

    2015.12.17     SRI LANKA

    Winner: Tharindu Weerakoon, Kazuo Ishii, Amir Ali Forough Nassiraei

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