Simulation for Multi-Sensors-Based Autonomous Robot

Jiajie Wang; Keming Zhuang; Qinglei Bu; Mark Leach; Jie Sun

doi:10.1007/978-3-031-70684-4_26

Simulation for Multi-Sensors-Based Autonomous Robot

Jiajie Wang, Keming Zhuang, Qinglei Bu^*, Mark Leach, Jie Sun

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Autonomous robots are attracting increasing attention nowadays, especially in parcel delivery and in search and rescue activities. In order to improve the accuracy of mapping and navigation for these robots, multi-sensors have been considered with sensor fusion technology. However, different sensor fusion methods may lead to different efficiency and performance. This paper focuses on the simulation of sensor fusion by utilizing LIDAR and odometer sensors; following parameter optimization, more accurate mapping can be realized. Based on this result, navigation was also tested to show the effectiveness of trajectory planning.

Original language	English
Title of host publication	Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
Editors	Anwar P.P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	312-320
Number of pages	9
ISBN (Print)	9783031706837
DOIs	https://doi.org/10.1007/978-3-031-70684-4_26
Publication status	Published - 2024
Event	11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 - Taicang, China Duration: 6 Dec 2023 → 8 Dec 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1132 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Country/Territory	China
City	Taicang
Period	6/12/23 → 8/12/23

Keywords

mapping and navigation
sensor fusion
simulation

Access to Document

10.1007/978-3-031-70684-4_26

Cite this

Wang, J., Zhuang, K., Bu, Q., Leach, M., & Sun, J. (2024). Simulation for Multi-Sensors-Based Autonomous Robot. In A. P. P. Abdul Majeed, E. H. Yap, P. Liu, X. Huang, A. Nguyen, W. Chen, & U.-H. Kim (Eds.), Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications (pp. 312-320). (Lecture Notes in Networks and Systems; Vol. 1132 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70684-4_26

Wang, Jiajie ; Zhuang, Keming ; Bu, Qinglei et al. / Simulation for Multi-Sensors-Based Autonomous Robot. Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. editor / Anwar P.P. Abdul Majeed ; Eng Hwa Yap ; Pengcheng Liu ; Xiaowei Huang ; Anh Nguyen ; Wei Chen ; Ue-Hwan Kim. Springer Science and Business Media Deutschland GmbH, 2024. pp. 312-320 (Lecture Notes in Networks and Systems).

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title = "Simulation for Multi-Sensors-Based Autonomous Robot",

abstract = "Autonomous robots are attracting increasing attention nowadays, especially in parcel delivery and in search and rescue activities. In order to improve the accuracy of mapping and navigation for these robots, multi-sensors have been considered with sensor fusion technology. However, different sensor fusion methods may lead to different efficiency and performance. This paper focuses on the simulation of sensor fusion by utilizing LIDAR and odometer sensors; following parameter optimization, more accurate mapping can be realized. Based on this result, navigation was also tested to show the effectiveness of trajectory planning.",

keywords = "mapping and navigation, sensor fusion, simulation",

author = "Jiajie Wang and Keming Zhuang and Qinglei Bu and Mark Leach and Jie Sun",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 ; Conference date: 06-12-2023 Through 08-12-2023",

year = "2024",

doi = "10.1007/978-3-031-70684-4_26",

language = "English",

isbn = "9783031706837",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "312--320",

editor = "{Abdul Majeed}, {Anwar P.P.} and Yap, {Eng Hwa} and Pengcheng Liu and Xiaowei Huang and Anh Nguyen and Wei Chen and Ue-Hwan Kim",

booktitle = "Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications",

}

Wang, J, Zhuang, K, Bu, Q , Leach, M & Sun, J 2024, Simulation for Multi-Sensors-Based Autonomous Robot. in APP Abdul Majeed, EH Yap, P Liu, X Huang, A Nguyen, W Chen & U-H Kim (eds), Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. Lecture Notes in Networks and Systems, vol. 1132 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 312-320, 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023, Taicang, China, 6/12/23. https://doi.org/10.1007/978-3-031-70684-4_26

Simulation for Multi-Sensors-Based Autonomous Robot. / Wang, Jiajie; Zhuang, Keming; Bu, Qinglei et al.
Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. ed. / Anwar P.P. Abdul Majeed; Eng Hwa Yap; Pengcheng Liu; Xiaowei Huang; Anh Nguyen; Wei Chen; Ue-Hwan Kim. Springer Science and Business Media Deutschland GmbH, 2024. p. 312-320 (Lecture Notes in Networks and Systems; Vol. 1132 LNNS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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T1 - Simulation for Multi-Sensors-Based Autonomous Robot

AU - Wang, Jiajie

AU - Zhuang, Keming

AU - Bu, Qinglei

AU - Leach, Mark

AU - Sun, Jie

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - Autonomous robots are attracting increasing attention nowadays, especially in parcel delivery and in search and rescue activities. In order to improve the accuracy of mapping and navigation for these robots, multi-sensors have been considered with sensor fusion technology. However, different sensor fusion methods may lead to different efficiency and performance. This paper focuses on the simulation of sensor fusion by utilizing LIDAR and odometer sensors; following parameter optimization, more accurate mapping can be realized. Based on this result, navigation was also tested to show the effectiveness of trajectory planning.

AB - Autonomous robots are attracting increasing attention nowadays, especially in parcel delivery and in search and rescue activities. In order to improve the accuracy of mapping and navigation for these robots, multi-sensors have been considered with sensor fusion technology. However, different sensor fusion methods may lead to different efficiency and performance. This paper focuses on the simulation of sensor fusion by utilizing LIDAR and odometer sensors; following parameter optimization, more accurate mapping can be realized. Based on this result, navigation was also tested to show the effectiveness of trajectory planning.

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KW - sensor fusion

KW - simulation

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BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications

A2 - Abdul Majeed, Anwar P.P.

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A2 - Nguyen, Anh

A2 - Chen, Wei

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023

Y2 - 6 December 2023 through 8 December 2023

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Wang J, Zhuang K, Bu Q , Leach M , Sun J. Simulation for Multi-Sensors-Based Autonomous Robot. In Abdul Majeed APP, Yap EH, Liu P, Huang X, Nguyen A, Chen W, Kim UH, editors, Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. Springer Science and Business Media Deutschland GmbH. 2024. p. 312-320. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70684-4_26