Detachable Body: Validating the Positional Relationship between Head and Arm

Vitvasin Vimolmongkolporn, Yukiko Iwasaki, Fumihiro Kato, Hiroyasu Iwata

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The detachable body is the extended concept of the Supernumerary Robotic limbs (SRL), which can detach and attach from the user's body to the environment. This concept enables collaboration and multi-presence. However, in the previous research, the discussion of the positional relationship between modular body components is still unclear regarding the user's work efficiency. Therefore, the experiments were conducted to observe the effect of detached arm position on the work efficiency for effective work using modular bodies like detachable bodies. The first experiment compares work efficiency(time to finish task and distance error) when the positional relationship between the robotics head and arm is kept the same during attached/detached. Secondly, the comparison of the position variations during detached was also investigated. As a result, the time to finish the task in the detached case is significantly higher than in the attached case, suggesting the advantage of the attached case. Also, the tendency indicates that work efficiency dropped in positions over 39 cm horizontally. The overall suggest revamping the system through depth recognition, motor training, and input scaling. Also, the result of the position's variations can be considered as a design parameter to design hardware that improves the usability of the modular body system.

本文言語English
ホスト出版物のタイトル2023 IEEE/SICE International Symposium on System Integration, SII 2023
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9798350398687
DOI
出版ステータスPublished - 2023
イベント2023 IEEE/SICE International Symposium on System Integration, SII 2023 - Atlanta, United States
継続期間: 2023 1月 172023 1月 20

出版物シリーズ

名前2023 IEEE/SICE International Symposium on System Integration, SII 2023

Conference

Conference2023 IEEE/SICE International Symposium on System Integration, SII 2023
国/地域United States
CityAtlanta
Period23/1/1723/1/20

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 計算力学
  • 制御と最適化
  • モデリングとシミュレーション
  • 外科
  • 器械工学

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