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YANG BO  楊 波

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Yang Bo  楊 波

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Researcher Number 40866323
Other IDs
Affiliation (Current) 2026: 九州工業大学, 大学院情報工学研究院, 准教授
Affiliation (based on the past Project Information) *help 2024: 九州工業大学, 大学院情報工学研究院, 准教授
2022 – 2023: 東京大学, 生産技術研究所, 助教
Review Section/Research Field
Principal Investigator
Basic Section 61020:Human interface and interaction-related
Keywords
Principal Investigator
情報提示 / 交通弱者 / 自動運転 / ヒューマンマシンインタフェース / インタラクション / 手動運転車 / 混在交通 / 自動車 / 自動走行ロボット / 混在空間 / 手動運転 / 自律走行ロボット
  • Research Projects

    (2 results)
  • Research Products

    (2 results)
  •  Human machine interfaces to promote the coexistence of vulnerable road users and automated vehiclesPrincipal Investigator

    • Principal Investigator
      楊 波
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61020:Human interface and interaction-related
    • Research Institution
      Kyushu Institute of Technology
  •  Interactions between autonomous robots and manual driving vehicles in mixed trafficPrincipal Investigator

    • Principal Investigator
      Yang Bo
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61020:Human interface and interaction-related
    • Research Institution
      Kyushu Institute of Technology
      The University of Tokyo

All 2024

All Presentation

  • [Presentation] Analysis of driver behaviors while interacting with automated mobile robot in shared space2024

    • Author(s)
      Bo Yang, Chenchang Li, Muhua Guan, Kimihiko Nakano
    • Organizer
      17th International Conference on Motion and Vibration Control
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17932
  • [Presentation] Influences of automated delivery robot on driver behaviors in mixed traffic2024

    • Author(s)
      Bo Yang
    • Organizer
      12nd International Joint Symposium on Applied Engineering and Sciences
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17932

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