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2022 Fiscal Year Final Research Report

Quantitative exposure frequency evaluation method of physical contact risk of human-friendly robot considering environmental information

Research Project

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Project/Area Number 20K12006
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61050:Intelligent robotics-related
Research InstitutionSaitama University

Principal Investigator

Shinya Kotosaka  埼玉大学, 理工学研究科, 准教授 (30334147)

Project Period (FY) 2020-04-01 – 2023-03-31
Keywordsサービスロボット / リスクアセスメント / 暴露頻度評価 / 狭隘空間 / 定量的評価 / 人間共存型ロボット
Outline of Final Research Achievements

Since human coexistence robots that share the work environment with humans are a new technology, it is difficult to quantitatively evaluate the frequency of exposure to collision risk using historical accident data and other data. Therefore, previous studies have proposed a method of quantitative exposure frequency evaluation by reproducing the operating conditions of a robot by having a human substitute perform the same tasks as the robot. However, this method does not take into account the approaching properties. So, it is considered to be ineffective in narrow environments. In this study, a method for evaluating exposure frequency in a narrow environment that takes into account the approaching properties such as changes in speed and distance was proposed. Verification experiments were conducted in the same way as in previous studies using human substitutes to confirm the effectiveness of the proposed method.

Free Research Field

ロボット工学

Academic Significance and Societal Importance of the Research Achievements

本研究の成果を活用することによって,新規に活用される人間共存型ロボットの衝突リスクを定量的に評価できるようになる.その評価結果は,ロボットの活用・運用方法に対して安全性の面から評価,改善を行う指標として利用できる.その結果として,より安全な人間共存型ロボットの運用実現が期待できる.

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Published: 2024-01-30  

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