Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning
Author:
Affiliation:
1. University of Liverpool,Department of Computer Science,Liverpool,UK
2. School of Computer Science & Engineering, University of Washington,Seattle,WA,USA
3. King's College London,Department of Engineering,London,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09982218.pdf?arnumber=9982218
Reference28 articles.
1. A probabilistic framework for task-oriented grasp stability assessment
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3. Global estimation of an object’s pose using tactile sensing
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5. Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials
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3. 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
4. Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects;IEEE Robotics and Automation Letters;2024-02
5. Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
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