High-Speed Scooping Through Dynamic Manipulation: Model and Practice

This study introduces a robotic high-speed scooping technique, an effective solution for rapidly picking thin objects from a hard support surface. High-speed scooping involves dynamic and impactful manipulation using a two-fingered gripper. One digit dynamically penetrates beneath the object lying on a support surface while the other digit helps form a cage and subsequently secures a firm grip. This entire process is executed within a fractional-second time frame. We develop a theoretical model of manipulation for high-speed scooping and implement it using our custom direct-drive gripper designed for enhanced environment-adaptability. Extensive experiments verify the viability of our high-speed scooping approach.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-12-23
DOI
https://doi.org/10.1109/lra.2024.3520922
Citations
4
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
1.31
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article

High-Speed Scooping Through Dynamic Manipulation: Model and Practice

Jungwon Seo, Inho Lee, Hyeonje Cha
4 citations
IEEE Robotics and Automation Letters
Robot Manipulation and Learning
1.31
article

High-Speed Scooping Through Dynamic Manipulation: Model and Practice

Jungwon Seo, Inho Lee, Hyeonje Cha
article en
4 citations

Abstract

This study introduces a robotic high-speed scooping technique, an effective solution for rapidly picking thin objects from a hard support surface. High-speed scooping involves dynamic and impactful manipulation using a two-fingered gripper. One digit dynamically penetrates beneath the object lying on a support surface while the other digit helps form a cage and subsequently secures a firm grip. This entire process is executed within a fractional-second time frame. We develop a theoretical model of manipulation for high-speed scooping and implement it using our custom direct-drive gripper designed for enhanced environment-adaptability. Extensive experiments verify the viability of our high-speed scooping approach.

IEEE Robotics and Automation LettersVol. 10(2)
Pusan National University (KR)
Openalex Percentile: Top 18%
Robot Manipulation and Learning
1.31
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