Active SLAM in 3D deformable environments

被引:1
|
作者
Xu, Mengya [1 ,2 ]
Zhao, Liang [2 ]
Huang, Shoudong [2 ]
Hao, Qi [1 ,3 ]
机构
[1] Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China
[2] Univ Technol Sydney, Robot Inst, Sydney, NSW 2008, Australia
[3] Southern Univ Sci & Technol, Res Inst Trustworthy Autonomous Syst, Shenzhen, Guangdong, Peoples R China
关键词
D O I
10.1109/IROS47612.2022.9982224
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:7952 / 7958
页数:7
相关论文
共 50 条
  • [1] D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments
    Frosi, Matteo
    Matteucci, Matteo
    2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV, 2023,
  • [2] Morphology of Active Deformable 3D Droplets
    Ruske, Liam J.
    Yeomans, Julia M.
    PHYSICAL REVIEW X, 2021, 11 (02)
  • [3] 3D Active Metric-Semantic SLAM
    Tao, Yuezhan
    Liu, Xu
    Spasojevic, Igor
    Agarwal, Saurav
    Kumar, Vijay
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (03) : 2989 - 2996
  • [4] Modeling 3D deformable object with the active pyramid
    Reissman, PJ
    Magnin, IE
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1997, 11 (07) : 1129 - 1139
  • [5] NeuroSLAM: a brain-inspired SLAM system for 3D environments
    Yu, Fangwen
    Shang, Jianga
    Hu, Youjian
    Milford, Michael
    BIOLOGICAL CYBERNETICS, 2019, 113 (5-6) : 515 - 545
  • [6] NeuroSLAM: a brain-inspired SLAM system for 3D environments
    Fangwen Yu
    Jianga Shang
    Youjian Hu
    Michael Milford
    Biological Cybernetics, 2019, 113 : 515 - 545
  • [7] Using laser range data for 3D SLAM in outdoor environments
    Cole, David M.
    Newman, Paul M.
    2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, : 1556 - +
  • [8] A Modular Hybrid SLAM for the 3D Mapping of Large Scale Environments
    Le Cras, Jared
    Paxman, Jonathan
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV), 2012, : 1036 - 1041
  • [9] Stereo SLAM for Robust Dense 3D Reconstruction of Underwater Environments
    Bonin-Font, Francisco
    Cosic, Aleksandar
    Negre, Pep Lluis
    Solbach, Markus
    Oliver, Gabriel
    OCEANS 2015 - GENOVA, 2015,
  • [10] Using 3D laser range data for SLAM in outdoor environments
    Brenneke, C
    Wulf, O
    Wagner, B
    IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 188 - 193