Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention-Reference-Cited by-同舟云学术

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Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Abolghasemi Pooya,Mazaheri Amir,Shah Mubarak,Boloni Ladislau

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8938205/8953184/08953606.pdf?arnumber=8953606

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. MoVEInt: Mixture of Variational Experts for Learning Human–Robot Interactions From Demonstrations;IEEE Robotics and Automation Letters;2024-07

2. Person re-identification method based on fine-grained feature fusion and self-attention mechanism;Computing;2024-03-25

3. State-Dependent Maximum Entropy Reinforcement Learning for Robot Long-Horizon Task Learning;Journal of Intelligent & Robotic Systems;2024-01-24

4. Learning modular language-conditioned robot policies through attention;Autonomous Robots;2023-08-30

5. A knowledge-based task planning approach for robot multi-task manipulation;Complex & Intelligent Systems;2023-07-18

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