On Robustness of Multi-Modal Fusion—Robotics Perspective
The efficient multi-modal fusion of data streams from different sensors is a crucial ability that a robotic perception system should exhibit to ensure robustness against disturbances. However, as the volume and dimensionality of sensory-feedback increase it might be difficult to manually design a mu...
Main Authors: | Michal Bednarek, Piotr Kicki, Krzysztof Walas |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/7/1152 |
Similar Items
-
Single-Stage Extensive Semantic Fusion for multi-modal sarcasm detection
by: Hong Fang, et al.
Published: (2024-07-01) -
Transformer-Based Multi-Modal Data Fusion Method for COPD Classification and Physiological and Biochemical Indicators Identification
by: Weidong Xie, et al.
Published: (2023-09-01) -
Multi-Fidelity Information Fusion to Model the Position-Dependent Modal Properties of Milling Robots
by: Maximilian Busch, et al.
Published: (2022-01-01) -
Bilateral Cross-Modal Fusion Network for Robot Grasp Detection
by: Qiang Zhang, et al.
Published: (2023-03-01) -
Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis
by: Chao He, et al.
Published: (2024-01-01)