DSNet: Double Strand Robotic Grasp Detection Network Based on Cross Attention-Reference-Cited by-同舟云学术

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DSNet: Double Strand Robotic Grasp Detection Network Based on Cross Attention

Published:2024-05 Issue:5 Volume:9 Page:4702-4709
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zhang Yonghong¹^ORCID,Qin Xiayang¹^ORCID,Dong Tiantian²,Li Yuchao¹,Song Hongcheng¹,Liu Yunping¹,Li Ziqi³,Liu Qi⁴^ORCID

Affiliation:

1. School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

2. School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China

3. School of Automation, Wuxi University, Wuxi, China

4. School of Software, Automation Department, Nanjing University of Information Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Jiangsu Province Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10474437/10478148.pdf?arnumber=10478148

Reference37 articles.

1. Robotic grasping and contact: a review

2. Learning robust, real-time, reactive robotic grasping

3. Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation

4. Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network

5. Deep grasp: Detection and localization of grasps with deep neural networks;Chu,2018

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