G2T-SNN: Fusing Topological Graph and Gaussian Prior Spiking Neural Networks for Tactile Object Recognition-Reference-Cited by-同舟云学术

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G2T-SNN: Fusing Topological Graph and Gaussian Prior Spiking Neural Networks for Tactile Object Recognition

Published:2024-06-15 Issue:12 Volume:24 Page:19647-19660
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yu Zukun¹^ORCID,Yang Jing¹^ORCID,Ran Qin²^ORCID,Li Shaobo¹^ORCID,Su Zhidong³^ORCID

Affiliation:

1. Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, Guizhou University, Guiyang, China

2. State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China

3. School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA

Funder

Guizhou Provincial Basic Research Program

National Natural Science Foundation of China

Guizhou Provincial Key Technology Research and Development Program

Developing Objects and Projects of Scientific and Technological Talents in Guiyang City

Foundation of State Key Laboratory of Public Big Data

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10529973.pdf?arnumber=10529973

Reference57 articles.

1. Novel Tactile-SIFT Descriptor for Object Shape Recognition

2. Tactile-Object Recognition From Appearance Information

3. Haptic object recognition for multi-fingered robot hands

4. Object Classification and Grasp Planning Using Visual and Tactile Sensing

5. More Than a Feeling: Learning to Grasp and Regrasp Using Vision and Touch

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