FMIQA: A multimodal integrated QA Robot with considerable intelligence

With the tremendous necessity of multimodal application services, we have devised an integrated four-levels of question and answering (QA) Robot to handle a wide range of automatic tasks ranging from language, words, voice, image, and so on. The intelligent QA Robot, FMIQA, firstly analyze and normalize the corresponding input queries from the users, and then categorize the application areas of the tasks. After the aforementioned two-levels of operations, FMIQA has identified the intention of multiscale tasks. FMIQA then moves forward to the third phase to use the multiple structure of data storage and deals with the information tasks generated from the second-level phase. Through multiple rounds of queries, FMIQA obtains the final answer and analyzes the forms of output information. In the fourth-level phase, FMIQA aligns the form of input and output, and then provides the corresponding form of the answer. The information processing with four-levels allows FMIQA to have less querying and searching time, and it has higher precision and correlation in terms of the answers to the queries.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3711129.3711334
Primary Topic
Robotics and Automated Systems
Type
article
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FMIQA: A multimodal integrated QA Robot with considerable intelligence

LI Xue-zhong, Yuxuan Zhao, Yidan Xu, Wensong Liu et al.
Robotics and Automated Systems
article

FMIQA: A multimodal integrated QA Robot with considerable intelligence

LI Xue-zhong, Yuxuan Zhao, Yidan Xu, Wensong Liu, Yuxiao Zhao, Jinhui Zhang
article en

Abstract

With the tremendous necessity of multimodal application services, we have devised an integrated four-levels of question and answering (QA) Robot to handle a wide range of automatic tasks ranging from language, words, voice, image, and so on. The intelligent QA Robot, FMIQA, firstly analyze and normalize the corresponding input queries from the users, and then categorize the application areas of the tasks. After the aforementioned two-levels of operations, FMIQA has identified the intention of multiscale tasks. FMIQA then moves forward to the third phase to use the multiple structure of data storage and deals with the information tasks generated from the second-level phase. Through multiple rounds of queries, FMIQA obtains the final answer and analyzes the forms of output information. In the fourth-level phase, FMIQA aligns the form of input and output, and then provides the corresponding form of the answer. The information processing with four-levels allows FMIQA to have less querying and searching time, and it has higher precision and correlation in terms of the answers to the queries.

NARI Group (China) (CN)
Openalex Percentile: Top 66%
Robotics and Automated Systems
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