Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)

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The Development and Analysis of 3D Feature Reconstruction Technology for Service Robot SLAM System in Restaurant Environment

Authors
Zibo Zheng1, *
1University of Nottingham Ningbo China, Ningbo City, Zhejiang Province, 315000, China
*Corresponding author. Email: ssyzz32@nottingham.edu.cn
Corresponding Author
Zibo Zheng
Available Online 16 October 2024.
DOI
10.2991/978-94-6463-540-9_67How to use a DOI?
Keywords
simultaneous localization and mapping; service robot; restaurants environment; feature reconstruction; back-end optimization
Abstract

Indoor mobile robots are now widely used in restaurants for delivery services to improve delivery efficiency and reduce labor costs. Simultaneous visual localization and mapping (SLAM) and path planning are the basis for restaurant service robots to navigate and deliver food. Therefore, it is useful to summarize the framework and specific methods of SLAM for the development of restaurant service robots and even the service industry. In this paper, SLAM is divided into vision SLAM and LIDAR SLAM to summarize the framework and introduce and compare the specific methods. Firstly, the research background and significance of mobile robots and SLAM technology in restaurant environments are introduced. Secondly, visual SLAM & LiDAR information perception and 3D reconstruction technologies are introduced separately. Subsequently, two commonly used backend optimization methods are summarized, and the classification and construction methods of maps are summarized. Finally, the direction and opportunities for future SLAM research are discussed, and a summary of the entire article is provided. This paper provides methodological guidance for mobile robots working in a restaurant environment.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
Series
Advances in Computer Science Research
Publication Date
16 October 2024
ISBN
978-94-6463-540-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-540-9_67How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zibo Zheng
PY  - 2024
DA  - 2024/10/16
TI  - The Development and Analysis of 3D Feature Reconstruction Technology for Service Robot SLAM System in Restaurant Environment
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 656
EP  - 667
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_67
DO  - 10.2991/978-94-6463-540-9_67
ID  - Zheng2024
ER  -