Grasping Pose Detection for Loose Stacked Object Based on Convolutional Neural Network with Multiple Self-Powered Sensors Information-Reference-Cited by-同舟云学术

Grasping Pose Detection for Loose Stacked Object Based on Convolutional Neural Network with Multiple Self-Powered Sensors Information

Published:2022 Issue: Volume: Page:1-1
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yun Juntong¹^ORCID,Jiang Du²,Sun Ying¹,Huang Li³^ORCID,Tao Bo²,Jiang Guozhang²^ORCID,Kong Jianyi²,Weng Yaoqing²,Li Gongfa¹^ORCID,Fang Zifan⁴

Affiliation:

1. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China

2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of science and Technology, Wuhan, China

3. College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China

4. Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang 443002, China, Wuhan, China

Funder

Open Fund of Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance in China Three Gorges University

National Natural Science Foundation of China

National Defense PreResearch Foundation of Wuhan University of Science and Technology

Open Fund of the Key Laboratory for Metallurgical Equipment and Control of Ministry of Education in Wuhan University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/4427201/09846890.pdf?arnumber=9846890

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