中文版 | English
Title

Active SLAM in 3D deformable environments

Author
Corresponding AuthorQi Hao
DOI
Publication Years
2022
Conference Name
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ISSN
2153-0858
ISBN
978-1-6654-7928-8
Source Title
Pages
7952-7958
Conference Date
OCT 23-27, 2022
Conference Place
null,Kyoto,JAPAN
Publication Place
345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher
Abstract
This paper considers active SLAM problem for 3D deformable environments where the trajectory of the robot is planned to optimize the SLAM results. A planning strategy combining an efficient global planner with an accurate local planner is proposed to solve the problem. Simulation results under different scenarios have shown that the proposed active SLAM algorithm provides a good balance between accuracy and efficiency as compared to the local planner and the global planner. The MATLAB code of this first active SLAM algorithm for 3D deformable environments is made publicly available.
Keywords
SUSTech Authorship
First ; Corresponding
Language
English
URL[Source Record]
Indexed By
Funding Project
Science and Technology Innovation Committee of Shenzhen City[JCYJ20200109141622964]
WOS Research Area
Automation & Control Systems ; Computer Science ; Engineering ; Robotics
WOS Subject
Automation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Robotics
WOS Accession No
WOS:000909405300080
Data Source
Web of Science
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9982224
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/415612
DepartmentDepartment of Computer Science and Engineering
工学院
工学院_斯发基斯可信自主研究院
Affiliation
1.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
2.Robotics Institute, University of Technology Sydney, NSW 2008, Australia.
3.Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, Guangdong, China.
First Author AffilicationDepartment of Computer Science and Engineering
Corresponding Author AffilicationDepartment of Computer Science and Engineering;  Research Institute of Trustworthy Autonomous Systems
First Author's First AffilicationDepartment of Computer Science and Engineering
Recommended Citation
GB/T 7714
Mengya Xu,Liang Zhao,Shoudong Huang,et al. Active SLAM in 3D deformable environments[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:7952-7958.
Files in This Item:
File Name/Size DocType Version Access License
68Active SLAM in 3D (2264KB) Restricted Access--
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