SEG-Net: Deep Learning Grasping With a Soft Enveloping Gripper-Reference-Cited by-同舟云学术

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SEG-Net: Deep Learning Grasping With a Soft Enveloping Gripper

Published:2024-10 Issue:10 Volume:9 Page:8338-8345
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Hao Yufei¹^ORCID,Peng Bin¹^ORCID,Zhang Hui²^ORCID,Wang Chang¹^ORCID,Wang Rui³,Zhang Jianhua¹^ORCID

Affiliation:

1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China

2. Group TAMS, Department Informatics, University of Hamburg, Hamburg, Germany

3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

National Natural Science Foundation of China Regional Innovation and Development Joint Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10638067/10637663.pdf?arnumber=10637663

Reference21 articles.

1. Trends and challenges in robot manipulation

2. Mechanisms for Robotic Grasping and Manipulation

3. Algorithms and Systems for Manipulating Multiple Objects

4. The Hannes hand prosthesis replicates the key biological properties of the human hand

5. Analysis of Fingertip Force Vector for Pinch-Lifting Gripper With Robust Adaptation to Environments

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