A Vision-Based Robot Grasping System-Reference-Cited by-同舟云学术

A Vision-Based Robot Grasping System

Published:2022-05-15 Issue:10 Volume:22 Page:9610-9620
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Cheng Hu¹^ORCID,Wang Yingying¹^ORCID,Meng Max Q.-H.²^ORCID

Affiliation:

1. Department of Electronic Engineering, Robotics, Perception and Artificial Intelligence Laboratory, The Chinese University of Hong Kong, Hong Kong

2. Department of Electronic and Electrical Engineering, Shenzhen Key Laboratory of Robotics Perception and Intelligence, Southern University of Science and Technology, Shenzhen, China

Funder

National Key Research and Development Program of China

Hong Kong Research Grants Council (RGC) Collaborative Research Fund

Hong Kong RGC General Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9774386/09745523.pdf?arnumber=9745523

Reference34 articles.

1. Dealing with ambiguity in robotic grasping via multiple predictions;ghazaei;Proc Asian Conf Comput Vis,2018

2. Orientation attentive robotic grasp synthesis with augmented grasp map representation;chalvatzaki;arXiv 2006 05123,2020

3. Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

4. Deep Residual Learning for Image Recognition

5. Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A large-area less-wires stretchable robot electronic skin;Sensors and Actuators A: Physical;2024-10

2. Magnetostrictive bi-perceptive flexible sensor for tracking bend and position of human and robot hand;Scientific Reports;2024-09-06

3. Robotics-assisted modular assembly of bioactive soft materials for enhanced organ fabrication;Virtual and Physical Prototyping;2024-08-19

4. U-TAG: Electromagnetic Wireless Sensing System for Robotic Hand Pre-Grasping;Sensors;2024-08-18

5. Comparing Pre-Trained Object Detection Models for Autonomous Grasp on Affordable Prosthetic Hands;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26