Pixel-Level Collision-Free Grasp Prediction Network for Medical Test Tube Sorting on Cluttered Trays-Reference-Cited by-同舟云学术

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Pixel-Level Collision-Free Grasp Prediction Network for Medical Test Tube Sorting on Cluttered Trays

Published:2023-12 Issue:12 Volume:8 Page:7897-7904
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Ge Shihao¹^ORCID,Hou Beiping²^ORCID,Zhu Wen²^ORCID,Zhu Yuzhen¹^ORCID,Lu Senjian¹^ORCID,Zheng Yangbin¹^ORCID

Affiliation:

1. Department of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China

2. Department of Zhejiang International Science and Technology Cooperation Base of Intelligent Robot Sensing and Control, Zhejiang University of Science and Technology, Hangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10287676/10274123.pdf?arnumber=10274123

Reference34 articles.

1. Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes

2. DDGC: Generative Deep Dexterous Grasping in Clutter

3. SE-ResUNet: A Novel Robotic Grasp Detection Method

4. Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

5. Beyond Top-Grasps Through Scene Completion

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