Kinjo Hiroshi

写真a

Title

Professor

Researcher Number(JSPS Kakenhi)

50211206

Current Affiliation Organization 【 display / non-display

  • Duty   University of the Ryukyus   Faculty of Engineering   School of Engineering_Mechanical Engineering Program   Professor  

  • Concurrently   University of the Ryukyus   Graduate School of Engineering and Science   Intellingent Machine Systems   Professor  

Academic degree 【 display / non-display

  • The University of Tokushima -  Doctor of Engineering

External Career 【 display / non-display

  • 1988.10
     
     

    University of the Ryukyus, Faculty of Engineering, Professor  

Research Interests 【 display / non-display

  • Intelligent Control Systems,Signal Processing

Research Areas 【 display / non-display

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

  • Informatics / Mechanics and mechatronics

  • Informatics / Robotics and intelligent system

Research Theme 【 display / non-display

  • Neurocontrol with Genetic Algorithms for Nonlinear Systems

Published Papers 【 display / non-display

  • Construction of a fuzzy controller for AUV equipped with a relearning method designed with GA

    Takumi Tashima, Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro and Eiho Uezato

    Proc. of the Joint Symposium of The Twenty-Ninth International Symposium on Artificial Life and Robotics (AROB 29th 2024)     2024.01 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

  • Performance evaluation of schedule plan for cuckoo search applied to the neural network controller of a rotary crane

    Rui Kinjo, Kunihiko Nakazono, Naoki Oshiro, Hiroshi Kinjo

    Artificial Life and Robotics ( Springer )  28   2023.12 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

  • Fuzzy controller for AUV robots based on machine learning and genetic algorithm

    Toya Yamada, Hiroshi Kinjo, Kunihiko Nakazono, Naoki Oshiro, and Eiho Uezato

    Artificial Life and Robotics ( International Society of Artifcial Life and Robotics )  28   2023.07 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

  • Research on schedule plan fCuckoo Search applied to the neural network controller of a rotary crane

    Rui Kinjo, Kunihiko Nakazono, Naoki Oshiro, and Hiroshi Kinjo

    Proc. of the Joint Symposium of The 28th International Symposium on Artificial Life and Robotics (AROB 28th 2023)     689 - 692   2023.01 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

  • Development of neural network controller optimized by Cuckoo Search for a jib crane installed on an unstable base

    Shiu Oh, Kunihiko Nakazono, Naoki Oshiro, Eiho Uezato, and Hiroshi Kinjo

    Proc. of the Joint Symposium of The 28th International Symposium on Artificial Life and Robotics (AROB 28th 2023)     693 - 696   2023.01 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

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Other Papers 【 display / non-display

  • In-process Sensing of Cutting Tool Wear by ADF

    Tetsuhiko Yamamoto, Isao Fukumoto, Hiroshi Kinjo, and Kei Hara

    The Science and Engineering Review of Doshisha University ( 同志社大学 )  32 ( 3 ) 71 - 78   1991

     

  • Charge Transfer Deviceを用いた信号処理システム

    大恵俊一郎,真鍋俊彦,富田豊,金城寛

    徳島大学工学部研究報告 ( 徳島大学 )  ( 30 ) 63 - 73   1985

     

Presentations 【 display / non-display

  • Fuzzy Control of Marine Robot

    Kosuke Matayoshi and Hiroshi Kinjo

    2022.03  -  2022.03 

  • Study on State Estimation Method of Marine Robot

    Shu Tahara and Hiroshi Kinjo

    2022.03  -  2022.03 

  • Position control of marine robot using neuro-controller by GA learning

    Daiki Ishikawa, Toya Yamada, Hiroshi Kinjo, Kunihiko Nakazono and Eiho Uezato

    (Kyushu University )  2021.11  -  2021.11 

  • Control Simulation of Marine Robot Using Fuzzy and PID Control

    Toya Yamada, Hiroshi Kinjo, Kunihiko Nakazono, Eiho Uezato and Naoki Oshiro

    (Kyushu University )  2021.11  -  2021.11 

  • Control of the Acrobot via direct gradient descent control optimized by genetic algrithm

    Sam Chau Duong, Hiroshi Kinjo, and Eiho Uezato

    The 27th SICE Kyusyu Branch Annual Conference  2008.12  -  2008.12 

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