Visual–tactile fusion object classification method based on adaptive feature weighting

Visual–tactile fusion information plays a crucial role in robotic object classification. The fusion module in existing visual–tactile fusion models directly splices visual and tactile features at the feature layer; however, for different objects, the contributions of visual features and tactile feat...

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Bibliographic Details
Main Authors: Peng Zhang, Lu Bai, Dongri Shan, Xiaofang Wang, Shuang Li, Wenkai Zou, Zhenxue Chen
Format: Article
Language:English
Published: SAGE Publishing 2023-08-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/17298806231191947