Conceptual spatial representations for indoor mobile robots

被引:192
|
作者
Zender, H. [1 ]
Mozos, O. Martinez [2 ]
Jensfelt, P. [3 ]
Kruijff, G. J. M. [1 ]
Burgard, W. [2 ]
机构
[1] German Res Ctr Artificial Intelligence DFKI GmbH, Language Technol Lab, Campus D32,Stuhlsatzenhausweg 3, D-66123 Saarbrucken, Germany
[2] Univ Freiburg, Dept Comp Sci, D-79110 Freiburg, Germany
[3] Royal Inst Technol, Ctr Autonomous Syst, SE-10044 Stockholm, Sweden
关键词
spatial representation; conceptual map; mapping; service robots; mobile robots;
D O I
10.1016/j.robot.2008.03.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present an approach for creating conceptual representations of human-made indoor environments using mobile robots. The concepts refer to spatial and functional properties of typical indoor environments. Following different findings in spatial cognition, our model is composed of layers representing maps at different levels of abstraction. The complete system is integrated in a mobile robot endowed with laser and vision sensors for place and object recognition. The system also incorporates a linguistic framework that actively supports the map acquisition process, and which is used for situated dialogue. Finally, we discuss the capabilities of the integrated system. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:493 / 502
页数:10
相关论文
共 50 条
  • [41] Mechanical support as a spatial abstraction for mobile robots
    Sjoo, Kristoffer
    Aydemir, Alper
    Moerwald, Thomas
    Zhou, Kai
    Jensfelt, Patric
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 4894 - 4900
  • [42] Hierarchical path planning of mobile robots in complex indoor environments
    Seder, Marija
    Mostarac, Petar
    Petrovic, Ivan
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2011, 33 (3-4) : 332 - 358
  • [43] An Autonomous Behavior Switching Method for Indoor Mobile Service Robots
    Tian, Yiran
    An, Xingrun
    Qiu, Xiaoqing
    Xu, Xichen
    Zhang, Sen
    2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2021), 2021, : 60 - 64
  • [44] Visual Localization Strategy for Indoor Mobile Robots in the Complex Environment
    Lei, Xiaohan
    Zhang, Fei
    Zhou, Junyi
    Shang, Weiwei
    PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, : 1135 - 1140
  • [45] Chemical source localization using mobile robots in indoor arena
    Zhang, Yuli
    Ma, Xiaoping
    Miao, Yanzi
    Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (07): : 3718 - 3727
  • [46] Object guided autonomous exploration for mobile robots in indoor environments
    Nieto-Granda, Carlos
    Choudhary, Siddharth
    Rogers, John G., III
    Twigg, Jeff
    Murali, Varun
    Christensen, Henrik I.
    UNMANNED SYSTEMS TECHNOLOGY XVI, 2014, 9084
  • [47] Semantic mapping techniques for indoor mobile robots: Review and prospect
    Xu, Song
    Xuan, Liang
    Zhou, Huaidong
    MEASUREMENT & CONTROL, 2025, 58 (03): : 377 - 393
  • [48] Map-based Robust Localization for Indoor Mobile Robots
    Song Jianchao
    Zhang Xuebo
    Sun Lei
    Liu Jingtai
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 6945 - 6950
  • [49] A Simple Obstacle Arrangement Detection Algorithm for Indoor Mobile Robots
    Takai, Hiroyuki
    Miyake, Masamichi
    Okuda, Kiyoshi
    Tachibana, Keihachiro
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 110 - 113
  • [50] Dynamic Ultrasonic Hybrid Localization System for Indoor Mobile Robots
    Kim, Seong Jin
    Kim, Byung Kook
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (10) : 4562 - 4573