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
- Rong Pan (ORCID: https://orcid.org/0000-0001-5171-8248)
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