NISIDA Yuya

写真a

Title

Associate Professor

Laboratory

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

Research Fields, Keywords

Field robotics

Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 8

Citation count denotes the number of citations in papers published for a particular year.

Post Graduate Education 【 display / non-display

  • 2011.03  Kyushu Institute of Technology    Doctoral Program  Completed  JAPAN

  • 2008.03  Kyushu Institute of Technology    Master's Course  Completed  JAPAN

Degree 【 display / non-display

  • Kyushu Institute of Technology -  Doctor of Engineering  2011.03

Biography in Kyutech 【 display / non-display

  • 2019.12
    -
    Now

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

  • 2018.04
    -
    2019.11

    Kyushu Institute of TechnologyFrontier Research Academy for Young Researchers   Assistant Professor  

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

  • Dynamics/Control

  • Intelligent mechanics/Mechanical systems

  • Naval and maritime engineering

 

Publications (Article) 【 display / non-display

  • Underwater 3D Scanner using RGB Laser pattern

    Nishida Y., Yasukawa S., Ishii K.

    2021 IEEE/SICE International Symposium on System Integration, SII 2021      229 - 232   2021.01  [Refereed]

     View Summary

    For efficiency surveying fishery resource, the authors developed the scanner which measure the target shape at once time. The scanner based on the structured light method irradiated the laser patter coded on De Bruijn for high resolution the measurement under water. The evaluation experiment results showed that the scanner can measure the target shape less than 1.4 % error for the measurement range.

    DOI Scopus

  • Deep-Sea Robotic Survey and Data Processing Methods for Regional-Scale Estimation of Manganese Crust Distribution

    Neettiyath U., Thornton B., Sangekar M., Nishida Y., Ishii K., Bodenmann A., Sato T., Ura T., Asada A.

    IEEE Journal of Oceanic Engineering    46 ( 1 ) 102 - 114   2021.01  [Refereed]

     View Summary

    © 1976-2012 IEEE. Manganese crusts (Mn-crusts) are a type of mineral deposit that exists on the surface of seamounts and guyots at depths of >800 m. We have developed a method to efficiently map their distribution using data collected by autonomous underwater vehicles and remotely operated vehicles. Volumetric measurements of Mn-crusts are made using a high-frequency subsurface sonar and a 3-D visual mapping instrument mounted on these vehicles. We developed an algorithm to estimate Mn-crust distribution by combining continuous subsurface thickness measurements with the exposed surface area identified in 3-D maps. This is applied to data collected from three expeditions at Takuyo Daigo seamount at depths of ∼1400 m. The transects add to ∼11 km in length with 12 510 m2 mapped. The results show that 52% of the surveyed area is covered by Mn-crusts with a mean thickness of 69.6 mm. The mean Mn-crust occurrence is 69.6 kg/m2 with a maximum of 204 kg/m2 in the mapped region. The results are consistent with estimates made from samples retrieved from the area, showing more detailed distribution patterns and having significantly lower uncertainty bounds for regional-scale Mn-crust inventory estimation.

    DOI Scopus

  • Development and testing of an unmanned surface towing system for autonomous transport of multiple heterogeneous underwater vehicles for seafloor survey

    Ohki T., Kakami H., Nishida Y., Nakatani T., Thornton B.

    Marine Technology Society Journal    54 ( 5 ) 61 - 71   2021.01  [Refereed]

     View Summary

    © 2020, Marine Technology Society Inc. All rights reserved. Simultaneous operation of multiple autonomous underwater vehicles (AUVs) can increase seafloor mapping efficiency. However, AUVs typically rely on support vessels with an operations crew for transport to sites of interest and supervision during their dives. This is costly and limits the scalability of AUV-based seafloor mapping. This paper describes a robotic system that can transport AUVs from shore and deploy them in a survey area located offshore, without the need for a crewed support vessel. We clarify the functional requirements for ship-free AUV operations and propose a concept that allows a single autonomous surface vehicle (ASV) to transport, release, and monitor multiple large and heterogeneous AUVs. The proposed system uses towing modules that can be connected in parallel and can accommodate a variety of pre-existing ASVs and AUVs. A full-scale system was developed and tested during sea trials in the Mediterranean Sea off Greece, to verify basic functionality and gather data on the impact of towing multiple AUVs on ASV endurance and range. Results of these trials and lessons learned are discussed.

    DOI Scopus

  • Development of a handy autonomous underwater vehicle“kyubic”

    Matsumura T., Uemura Y., Yanagise K., Tanaka Y., Nishida Y., Ishii K.

    Proceedings of International Conference on Artificial Life and Robotics    2021   405 - 408   2021.01  [Refereed]

     View Summary

    Ocean is one of big challenging and extreme environments, and hard for human to access directly. As the tool for ocean survey, Autonomous Underwater Vehicles: AUVs are expected and developed from ‘80s. The recent rapid progress of computer and information technologies makes the development of AUVs easier and more practical. We had developed a handy AUV “Kyubic” for the observation of shallow water and artificial structures. In this paper, we describe the system architecture of Kyubic and the experimental results in Underwater Robotics Competition in Okinawa 2020.

    Scopus

  • Underwater image reconstruction using convolutional auto-encoder

    Yasukawa S., Raghura S.S., Nishida Y., Ishii K.

    Proceedings of International Conference on Artificial Life and Robotics    2021   262 - 265   2021.01  [Refereed]

     View Summary

    One of the main tasks of AUVs is to capture deep-sea images like fishes, crabs, other living organisms and resources for information leading to research on deep-sea ecosystems. Acoustic transmission are used to establish wireless underwater communications between the AUV and the ship. However, there are some limitations in the communication channels due to limited bandwidth, multi-path, temperature distribution and change in the direction of transmitting source and receiving sensor which results in losses in data being transmitted. Initially, the captured images are enhanced to reduce the effect of light attenuation and then compressed for transmission through acoustic modems. Only an important part of image is being transmitted through set of data packets. The received data packets in the ship will be reconstructed to predict the presence of living organisms. The loss in data during transmission creates a difficulty for the operators to predict the exact information. In this research, to compensate this transmission loss, an efficient compression and reconstruction technique using convolutional autoencoder with minimal distortion is proposed. Finally, for evaluation of the proposed image compression technique, the quality of reconstruction of images with and without data loss will be compared using the quality metrics signal to noise ratio (PSNR), structural similarity index(SSIM) and perceptual quality of image.

    Scopus

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

  • Stiffness Measurement of Object Targeted for Robotic Hand

    2020.05  -  2020.05 

    CiNii

  • Development of Autonomous Underwater Vehicle for benthos sampling:-Continuous benthos sampling using a slurp gun with canisters-

    2020.05  -  2020.05 

    CiNii

  • Long-term observation method using Cable-restricted Underwater Vehicle:-Self-localization based on cable constraints-

    2020.05  -  2020.05 

    CiNii

  • Image sensing system for an underwater robot with a benthos sampling function

    YASUKAWA Shinsuke, AHN Jonghyun, NISHIDA Yuya, SONODA Takashi, ISHII Kazuo, URA Tamaki

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)  2017.01  -  2017.01 

    CiNii

  • Underwater three-dimensional measurement using RGB structured-light:-Verification of basic theory-

    SHIINNOKI Tomoya, NISHIDA Yuya, ISHII Kazuo

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)  2017.01  -  2017.01 

    CiNii

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Lectures 【 display / non-display

  • 洋上中継器(USV),自律型海中ロボット(AUV),海底探査

    技術士会北九州地区行事   2021.09.11 

  • 自律型海中ロボットを用いた水産資源調査

    沖縄海洋ロボコン水域ロボットシンポジウム   2020.11.06 

  • 次世代海中ロボットによる海底調査

    明専会東京支部 令和2年度秋季講演会 ( 明専会東京支部 )  2020.10.03  明専会東京支部

  • 事前に捕獲対象を設定しない生物捕獲用自律型海中ロボットに関する研究

    第三回海中海底工学フォーラム・ZERO ( 東京大学生産技術研究所 (online) )  2020.04.24  海中海底工学フォーラム・ZERO 運営委員会

  • テレロボティクスインターフェイスを有した生物捕獲用自律型海中ロボット

    海洋調査技術学会 第31回研究成果発表会   2019.11.29 

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Honors and Awards 【 display / non-display

  • Young Author Award

    2020.01.15     JAPAN

    Winner: Katsuaki Suzuki, Yuya Nishida, Takashi Sonoda, Kazuo Ishii