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2022 年度 実施状況報告書

Aerial-Terrestrial-Aquatic Robots for Search and Rescue in an ATA Extreme Environment

研究課題

研究課題/領域番号 20KK0086
研究機関大阪大学

研究代表者

ラサミー ポチャラ  大阪大学, サイバーメディアセンター, 招へい教員 (50772448)

研究分担者 浦西 友樹  大阪大学, サイバーメディアセンター, 准教授 (00533738)
ORLOSKY JASON  大阪大学, サイバーメディアセンター, 特任准教授(常勤) (10815111)
三輪 昌史  徳島大学, 大学院社会産業理工学研究部(理工学域), 准教授 (40283957)
竹村 治雄  大阪大学, サイバーメディアセンター, 教授 (60263430)
研究期間 (年度) 2020-10-27 – 2024-03-31
キーワードATA mapping / point cloud estimation / panoptic / transition
研究実績の概要

This year, we completed a major part of our project, focusing on ATA mapping. To estimate point clouds during aerial-aquatic transitions, we developed a new multi-box interpolation method. We based our proposed method on studying the noise characteristics of aerial and aquatic point clouds. We also developed an image processing technique to predict whether we should fuse point clouds or not. This allows the robot to avoid collisions during transitions. We mapped the environment using a thermal camera, which helps the robot to see in dark underwater areas by developed a machine learning-based panoptic perception-based generative adversarial network for thermal-to-color image translation.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

We have been able to advance the development of ATA mapping in Japan, specifically in several domestic caves. Despite the challenges posed by Covid-19, we were unable to conduct experiments abroad as planned. However, we have successfully conducted experiments in local caves in Japan and we hope to conduct experiments abroad by the end of this year.

今後の研究の推進方策

Our main focus this year is the development of the ATA control part for the ATA robot. Our goal is to design a robot that can adapt its leg to allow for smoother movement from aquatic to aerial environments. First, we will conduct simulations to verify the control algorithm. Later, we plan to test the robot in an indoor pool and eventually move on to an outdoor pool.

Additionally, we have a student who is interested in using a thermal camera in different scenarios. As a result, we are planning to improve ATA mapping by implementing an active water jet.

次年度使用額が生じた理由

Due to Covid-19, we can not go to perform experiment abroad as plan. We plan to go this year.

  • 研究成果

    (2件)

すべて 2022

すべて 雑誌論文 (2件) (うち国際共著 2件、 査読あり 2件、 オープンアクセス 2件)

  • [雑誌論文] Panoptic-aware Image-to-Image Translation2022

    • 著者名/発表者名
      Zhang Liyun、Ratsamee Photchara、Uranishi Yuki、Higashida Manabu、Takemura Haruo
    • 雑誌名

      2023 IEEE winter conference on applications of computer vision (WACV)

      巻: 1 ページ: 11

    • DOI

      10.48550/arXiv.2112.01926

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Thermal-to-Color Image Translation for Enhancing Visual Odometry of Thermal Vision2022

    • 著者名/発表者名
      Zhang Liyun、Ratsamee Photchara、Uranishi Yuki、Higashida Manabu、Takemura Haruo
    • 雑誌名

      2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)

      巻: 2 ページ: 3

    • DOI

      10.1109/SSRR56537.2022.10018810

    • 査読あり / オープンアクセス / 国際共著

URL: 

公開日: 2023-12-25  

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