Highly Shape-Adaptable Honeycomb Gripper Using Orthotropic Surface Tension-Reference-Cited by-同舟云学术

Highly Shape-Adaptable Honeycomb Gripper Using Orthotropic Surface Tension

Published:2024-03 Issue:3 Volume:71 Page:2662-2671
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Seo Yong-Sin¹^ORCID,Lee Jae-Young¹^ORCID,Park Chanhun¹^ORCID,Park Jongwoo¹^ORCID,Han Byung-Kil¹^ORCID,Koh Je-Sung²^ORCID,Kim Uikyum²^ORCID,Rodrigue Hugo³^ORCID,Bak Jeongae¹^ORCID,Song Sung-Hyuk¹^ORCID

Affiliation:

1. Department of Robotics and Mechatronics, Korea Institute of Machinery and Materials, Daejeon, South Korea

2. Department of Mechanical Engineering, Ajou University, Suwon, South Korea

3. School of Mechanical Engineering, Sungkyunkwan University, Suwon, South Korea

Funder

Basic Research Program

Korea Institute of Machinery and Materials

Major Project of the Korea Institute of Machinery and Materials

R&D Program

Ministry of Trade, Industry and Energy, Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10255541/10100664.pdf?arnumber=10100664

Reference31 articles.

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4. Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds Using a New Analytic Model and Deep Learning

5. Universal robotic gripper based on the jamming of granular material

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