Multimodal fusion-powered English speaking robot

In the experimental section, we constructed a dataset containing various scenarios and oral instructions for testing. The results show that compared to traditional unimodal processing methods, our model significantly improves both language understanding accuracy and response time. This research not only enhances the performance of multimodal interaction in robots but also opens up new possibilities for applications of robotic technology in education, rescue, customer service, and other fields, holding significant theoretical and practical value.

Authors

Publication Details

Journal
Frontiers in Neurorobotics
Published
2024-11-15
DOI
https://doi.org/10.3389/fnbot.2024.1478181
Citations
6
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multimodal fusion-powered English speaking robot

Rong Pan
6 citations
Frontiers in Neurorobotics
Multimodal Machine Learning Applications
1.50
article

Multimodal fusion-powered English speaking robot

Rong Pan
article en
6 citations

Abstract

In the experimental section, we constructed a dataset containing various scenarios and oral instructions for testing. The results show that compared to traditional unimodal processing methods, our model significantly improves both language understanding accuracy and response time. This research not only enhances the performance of multimodal interaction in robots but also opens up new possibilities for applications of robotic technology in education, rescue, customer service, and other fields, holding significant theoretical and practical value.

Frontiers in NeuroroboticsVol. 18
Quality Education
Openalex Percentile: Top 16%
Multimodal Machine Learning Applications
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.