Vision-Touch Fusion for Predicting Grasping Stability Using Self Attention and Past Visual Images
Author:
Affiliation:
1. Waseda University,Faculty of Science and Engineering,Dept. of Modern Mechanical Engineering,Tokyo,Japan,169-8555
2. ARQ (Advanced Robotics at Queen Mary), School of Engineering and Materials Science, Queen Mary University of London (UK)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10364334/10364349/10364461.pdf?arnumber=10364461
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1. Coding and use of tactile signals from the fingertips in object manipulation tasks
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4. GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force
5. DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation
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