Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning-Reference-Cited by-同舟云学术

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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning

Published:2024-05-13 Issue: Volume:33 Page:530-536
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Fang Senlin¹,Liu Yiwen²,Liu Chengliang²,Wang Jingnan²,Su Yuanzhe²,Zhang Yupo²,Kong Hoiio¹,Yi Zhengkun²,Wu Xinyu²

Affiliation:

1. City University of Macau,Macau,China,999078

2. Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institute of Advanced Technology,SIAT Branch,The Department of Intelligent Systems and Robot Learning Lab ISRL Group,Shenzhen,518055

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610553.pdf?arnumber=10610553

Reference29 articles.

1. Underwater robot-object contact perception using machine learning on force/torque sensor feedback

2. TactONet: Tactile Ordinal Network Based on Unimodal Probability for Object Hardness Classification

3. Slip Detection with Combined Tactile and Visual Information

4. Learning to push by grasping: Using multiple tasks for effective learning

5. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem

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