Touch Modality Identification With Tensorial Tactile Signals: A Kernel-Based Approach-Reference-Cited by-同舟云学术

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Touch Modality Identification With Tensorial Tactile Signals: A Kernel-Based Approach

Published:2021 Issue: Volume: Page:1-10
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Yi Zhengkun^ORCID,Xu Tiantian^ORCID,Shang Wanfeng^ORCID,Wu Xinyu^ORCID

Funder

National Natural Science Foundation of China

NSFC-Shenzhen Robotics Research Center Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/09351746.pdf?arnumber=9351746

Cited by 11 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. RFCT: Multimodal Sensing Enhances Grasping State Detection for Weak-Stiffness Targets;Mathematics;2023-09-19

2. A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction;2023 IEEE International Conference on Real-time Computing and Robotics (RCAR);2023-07-17

3. Trade-off Between Accuracy and Computational Cost With Neural Architecture Search: A Novel Strategy for Tactile Sensing Design;IEEE Sensors Letters;2023-05

4. A Shortcut Enhanced LSTM-GCN Network for Multi-Sensor Based Human Motion Tracking;IEEE Transactions on Automation Science and Engineering;2023

5. Memory Efficient Binary Convolutional Neural Networks on Microcontrollers;2022 IEEE International Conference on Edge Computing and Communications (EDGE);2022-07

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