Autonomous mobile robot exploration based on the generalized Voronoi graph in the presence of localization error

被引:0
|
作者
Nagatani, K [1 ]
Choset, H [1 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Sensor based exploration is a task which enables a robot to explore and map an unknown environment, using sensor information. The map used in this paper is the generalized Voronoi graph (GVG). The robot explores an unknown, environment sing an already developed incremental construction procedure to generate the GVG using sensor information. This paper presents some initial results which uses the GVG for robot localization, while mitigating the need to update encoder values. Experimental results verify the described work.
引用
收藏
页码:192 / 203
页数:12
相关论文
共 50 条
  • [41] Graph-based Robust Localization and Mapping for Autonomous Mobile Robotic Navigation
    Yin, Jingchun
    Carlone, Luca
    Rosa, Stefano
    Bona, Basilio
    2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014), 2014, : 1680 - 1685
  • [42] Environment modeling and localization technique for an Autonomous Mobile Robot
    Ababsa, FE
    Bouguechal, NE
    PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2, 1996, : 1338 - 1342
  • [43] Detection and localization of an odour source by an autonomous mobile robot
    Lilienthal, A
    Zell, A
    Wandel, M
    Weimar, U
    ROBOTIK 2002, 2002, 1679 : 689 - 694
  • [44] Topological Indoor Localization and Navigation for Autonomous Mobile Robot
    Cheng, Hongtai
    Chen, Heping
    Liu, Yong
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 12 (02) : 729 - 738
  • [45] Monocular vision for mobile robot localization and autonomous navigation
    Royer, Eric
    Lhuillier, Maxime
    Dhome, Michel
    Lavest, Jean-Marc
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2007, 74 (03) : 237 - 260
  • [46] Indoor Localization and Map Building for Autonomous Mobile Robot
    Lou, Mingming
    Yu, Pengwei
    Yao, Yao
    Zhang, Lei
    PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON INTEGRATED CIRCUITS AND MICROSYSTEMS (ICICM), 2016, : 354 - 358
  • [47] Mobile Robot Localization Using Map Based on Cadastral Data for Autonomous Navigation
    Hoshino, Satoshi
    Yagi, Hideaki
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2022, 34 (01) : 111 - 120
  • [48] Monocular Vision for Mobile Robot Localization and Autonomous Navigation
    Eric Royer
    Maxime Lhuillier
    Michel Dhome
    Jean-Marc Lavest
    International Journal of Computer Vision, 2007, 74 : 237 - 260
  • [49] Feature-based localization of an autonomous mobile robot:: An experimental case study
    Kluge, B
    Noltemeier, H
    Schäfer, D
    INTELLIGENT AUTONOMOUS SYSTEMS 6, 2000, : 487 - 492
  • [50] Access Point Localization Using Autonomous Mobile Robot
    Awad, Fahed
    Omar, Ammar
    Naserllah, Muhammad
    Abu-Hantash, Alaa
    Al-Taj, Abrar
    2017 IEEE JORDAN CONFERENCE ON APPLIED ELECTRICAL ENGINEERING AND COMPUTING TECHNOLOGIES (AEECT), 2017,