A Survey on Robot Localization in Extraterrestrial Environments

被引:0
|
作者
Korikar, Gautam Anand [1 ]
Katragadda, Sanjay Krishna [1 ]
Kesarla, Sandesh [1 ]
Conrad, James M. [1 ]
Browne, Aidan F. [2 ]
机构
[1] Univ North Carolina Charlotte, Dept Elect & Comp Engn, Charlotte, NC 28223 USA
[2] Univ North Carolina Charlotte, Engn Technol & Construct Management Dept, Charlotte, NC 28223 USA
来源
关键词
ROVER LOCALIZATION; VISUAL ODOMETRY; MARS ROVER;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Localization plays a key role during autonomous operation of mobile robots in planetary exploration missions. It is a challenging task due to the uncertainty in the environment and limitations in communications. In this paper we discuss various technologies that can be considered for localization of robots in extraterrestrial environments and also analyze various methods that can be implemented using these technologies. After reviewing pros and cons of each method we finally suggest the best technique for localization considering the application of the robot.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] A Survey of Methods for Mobile Robot Localization and Mapping in Dynamic Indoor Environments
    Panchpor, Aishwarya A.
    Shue, Sam
    Conrad, James M.
    2018 CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION ENGINEERING SYSTEMS (SPACES), 2018, : 138 - 144
  • [2] SIMULATING EXTRATERRESTRIAL ENVIRONMENTS
    SAGAN, C
    SCIENCE JOURNAL, 1968, 4 (03): : 75 - &
  • [3] Localization methods for a mobile robot in urban environments
    Georgiev, A
    Allen, PK
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2004, 20 (05): : 851 - 864
  • [4] Scene Recognition for Robot Localization in Difficult Environments
    Santos-Saavedra, D.
    Canedo-Rodriguez, A.
    Pardo, X. M.
    Iglesias, R.
    Regueiro, C. V.
    BIOINSPIRED COMPUTATION IN ARTIFICIAL SYSTEMS, PT II, 2015, 9108 : 193 - 202
  • [5] Vision for mobile robot localization in urban environments
    Georgiev, A
    Allen, PK
    2002 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-3, PROCEEDINGS, 2002, : 472 - 477
  • [6] Deeper in BLUEDevelopment of a roBot for Localization in Unstructured Environments
    Iván del Pino
    Miguel Á. Muñoz-Bañon
    Saúl Cova-Rocamora
    Miguel Á. Contreras
    Francisco A. Candelas
    Fernando Torres
    Journal of Intelligent & Robotic Systems, 2020, 98 : 207 - 225
  • [7] Minimum landmarks for robot localization in orthogonal environments
    Sadeghi Bigham, B.
    Dolatikalan, S.
    Khastan, A.
    EVOLUTIONARY INTELLIGENCE, 2022, 15 (03) : 2235 - 2238
  • [8] Presenting BLUE: a roBot for Localization in Unstructured Environments
    del Pino, Ivan
    Cova, Saul
    Contreras, Miguel A.
    Candelas, Francisco A.
    Torres, Fernando
    2018 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC), 2018, : 130 - 135
  • [9] Minimum landmarks for robot localization in orthogonal environments
    B. Sadeghi Bigham
    S. Dolatikalan
    A. Khastan
    Evolutionary Intelligence, 2022, 15 : 2235 - 2238
  • [10] Humanoid Robot Localization in Complex Indoor Environments
    Hornung, Armin
    Wurm, Kai M.
    Bennewitz, Maren
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 1690 - 1695