Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard-Reference-Cited by-同舟云学术

Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard

Published:2020-10 Issue:4 Volume:5 Page:6145-6152
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Church Alex^ORCID,Lloyd John^ORCID,Hadsell Raia,Lepora Nathan F.^ORCID

Funder

Leverhulme Trust

EPSRC CASE Award

Google DeepMind

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9133350/09144378.pdf?arnumber=9144378

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1. A Method of Path Planning and Intelligent Exploration for Robot Based on Deep Reinforcement Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. TactileAR: Active Tactile Pattern Reconstruction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. BrailleSense: Deep Learning for Braille Character Classification;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

4. When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors From the Signal Processing Perspective;IEEE Journal of Selected Topics in Signal Processing;2024-04

5. High-Speed Tactile Braille Reading via Biomimetic Sliding Interactions;IEEE Robotics and Automation Letters;2024-03