To read this content please select one of the options below:

(excl. tax) 30 days to view and download

LiDAR-based SLAM for robotic mapping: state of the art and new frontiers

Xiangdi Yue, Yihuan Zhang, Jiawei Chen, Junxin Chen, Xuanyi Zhou, Miaolei He

Industrial Robot

ISSN: 0143-991X

Article publication date: 2 January 2024

Issue publication date: 23 February 2024

1307

Abstract

Purpose

In recent decades, the field of robotic mapping has witnessed widespread research and development in light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) techniques. This paper aims to provide a significant reference for researchers and engineers in robotic mapping.

Design/methodology/approach

This paper focused on the research state of LiDAR-based SLAM for robotic mapping as well as a literature survey from the perspective of various LiDAR types and configurations.

Findings

This paper conducted a comprehensive literature review of the LiDAR-based SLAM system based on three distinct LiDAR forms and configurations. The authors concluded that multi-robot collaborative mapping and multi-source fusion SLAM systems based on 3D LiDAR with deep learning will be new trends in the future.

Originality/value

To the best of the authors’ knowledge, this is the first thorough survey of robotic mapping from the perspective of various LiDAR types and configurations. It can serve as a theoretical and practical guide for the advancement of academic and industrial robot mapping.

Keywords

Acknowledgements

This work was supported by the Natural Science Foundation of Hunan Province, China, 2021JJ40353; the National Innovation and Entrepreneurship Training Program of China, 202210542043; and the Natural Science Foundation of Zhejiang Province, China, LQ23E050015.

Citation

Yue, X., Zhang, Y., Chen, J., Chen, J., Zhou, X. and He, M. (2024), "LiDAR-based SLAM for robotic mapping: state of the art and new frontiers", Industrial Robot, Vol. 51 No. 2, pp. 196-205. https://doi.org/10.1108/IR-09-2023-0225

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

Related articles