A Deep Learning Framework for Tactile Recognition of Known as Well as Novel Objects-Reference-Cited by-同舟云学术

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A Deep Learning Framework for Tactile Recognition of Known as Well as Novel Objects

Published:2020-01 Issue:1 Volume:16 Page:423-432
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Abderrahmane Zineb^ORCID,Ganesh Gowrishankar,Crosnier Andre^ORCID,Cherubini Andrea^ORCID

Funder

European Union Horizon 2020 research and innovation program

Ministry of Higher Education and Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/8952812/08637832.pdf?arnumber=8637832

Cited by 21 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 comprehensive review of robot intelligent grasping based on tactile perception;Robotics and Computer-Integrated Manufacturing;2024-12

2. Multimodal zero-shot learning for tactile texture recognition;Robotics and Autonomous Systems;2024-06

3. Arbitrary Surface Contact Sensing Method for Physical Human–Robot Interaction;IEEE Transactions on Industrial Informatics;2024-06

4. Object recognition based on one-shot learning with temporally constrained sparse representation;SCIENTIA SINICA Informationis;2024-01-01

5. GelStereo Palm: A Novel Curved Visuotactile Sensor for 3-D Geometry Sensing;IEEE Transactions on Industrial Informatics;2023-11

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