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Domain adaptation and long-term maintenance of invisible maps to enable low-cost autonomous navigation of robots in urban environments

Research Project

Project/Area Number 21K14121
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 20020:Robotics and intelligent system-related
Research InstitutionUtsunomiya University

Principal Investigator

MIYAGUSUKU・RIOS RENATO  宇都宮大学, 工学部, 助教 (90845588)

Project Period (FY) 2021-04-01 – 2025-03-31
Project Status Granted (Fiscal Year 2023)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywords自律移動ロボット / 不可視地図 / ドメイン適応 / 確率ロボティクス / 長期地図作成
Outline of Research at the Start

Wireless signal strength and magnetic disturbances are not affected by most dynamic obstacles. Using this "invisible data" a novel approach is proposed that can enable long-term autonomous navigation to robots equipped with low-cost sensors, even in dense crowds and dynamic environments.

Outline of Annual Research Achievements

This year, all algorithms necessary to create invariant maps and long-term mapping have been finalized and tested. Using the robot platform and sensors developed, we have also built datasets composed of wireless signal strength, magnetic strength, lidar, and ground truth (pose of the robot). Datasets will be made available to the public to foster continued research efforts from the research community. Datasets include data acquired from the surroundings of Utsunomiya University, Tsukuba City, and large commercial complexes in Tokyo, Utsunomiya, Osaka, and Kanagawa; during the span of the whole project.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

Development and testing of algorithms to create invariant and long-term maps have been successfully finalized.

Strategy for Future Research Activity

As development has been finalized, all further efforts will focus on additional testing and publication of results.

Report

(3 results)
  • 2023 Research-status Report
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (6 results)

All 2024 2023 2022 2021

All Journal Article (2 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (4 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] 大域的自己位置推定の実現に向けた指向性アンテナを用いたWiFi信号の到来角推定2022

    • Author(s)
      橋本 悠矢,ミヤグスク レナート,尾崎功一
    • Journal Title

      第40回日本ロボット学会学術講演会予稿集(RSJ2022)

      Volume: 1 Pages: 1-4

    • Related Report
      2022 Research-status Report
  • [Journal Article] Development of Magnetic-Based Navigation by Constructing Maps Using Machine Learning for Autonomous Mobile Robots in Real Environments2021

    • Author(s)
      Takebayashi Takumi、Miyagusuku Renato、Ozaki Koichi
    • Journal Title

      Sensors

      Volume: 21 Issue: 12 Pages: 3972-3972

    • DOI

      10.3390/s21123972

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Modeling Robot Orientation Using WiFi Directional Antennas and Von Mises Distributions2024

    • Author(s)
      Miyagusuku Renato, Tabata Kenta, Ozaki Koichi
    • Organizer
      2024 IEEE/SICE International Symposium on System Integration (SII)
    • Related Report
      2023 Research-status Report
    • Int'l Joint Research
  • [Presentation] Wi-Fi 指向性アンテナを用いた大域的位置と方位の推定2023

    • Author(s)
      ミヤグスク レナート; 田畑 研太; 尾崎 功一
    • Organizer
      第41回日本ロボット学会学術講演会予稿集(RSJ2023)
    • Related Report
      2023 Research-status Report
  • [Presentation] ガウス過程回帰により作成したWiFi地図を用いた複数階建物のフロア推定法の開発2023

    • Author(s)
      秋山 颯志; ミヤグスク レナート; 尾崎 功一
    • Organizer
      日本機械学会ロボティクス・メカトロニクス講演会'23講演論文集(ROBOMECH2023
    • Related Report
      2023 Research-status Report
  • [Presentation] Relaxing Correlation Assumptions for Data Fusion from Multiple Access Points for Wifi-based Robot Localization2022

    • Author(s)
      Miyagusuku Renato
    • Organizer
      2022 IEEE/SICE International Symposium on System Integration
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research

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Published: 2021-04-28   Modified: 2024-12-25  

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