Taylor & Francis Group
Browse
tadr_a_1608299_sm1949.mp4 (96.99 MB)

Deformable fingertip with a friction reduction system based on lubricating effect for smooth operation under both dry and wet conditions

Download (96.99 MB)
media
posted on 2019-05-09, 07:58 authored by Kaori Mizushima, Yosuke Suzuki, Tokuo Tsuji, Tetsuyou Watanabe

For stable robotic grasping, a surface with high friction is required; thus, a soft surface is preferable. In contrast, a slippery surface is preferable for inserting fingers into a narrow space or placing a grasped object on a table. Additionally, in an environment involving humans, such operations are performed under dry and wet conditions. Hence, this study aims at developing a soft robotic fingertip with a friction control system in which the surface friction is actively controllable under dry and wet conditions, whereas the external effects on friction, such as wetness, are minimized. The basic concept involves achieving high friction under both conditions by using a slit surface texture, while friction is reduced with a lubricating system by utilizing capillary action. The experimental validation shows that the proposed lubricating system embedded in a robotic finger surface successfully reduces friction under both conditions. The releasing and grasping operations reveal the efficacy of the proposed system in an actual situation. Additionally, the mechanism of the lubricating method is confirmed by introducing the spreading coefficient.

Funding

This work was supported partly by Grants-in-Aid for Scientific Research (KAKENHI) from the Japan Society for the Promotion of Science (JSPS) (nos. 18K18831 and 18K19809) and the Cabinet Office (CAO), Cross-ministerial Strategic Innovation Promotion Program (SIP), “An intelligent knowledge processing infrastructure, integrating physical and virtual domains” (funding agency: New Energy and Industrial Technology Development Organization (NEDO)).

History

Usage metrics

    Advanced Robotics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC