Theory and experiments in SmartNav rover navigation

被引:3
|
作者
Seraji, Homayoun [1 ]
Werger, Barry [1 ]
机构
[1] CALTECH, NASA, Jet Propuls Lab, Pasadena, CA 91109 USA
关键词
navigation; fuzzy logic; rovers; natural terrain;
D O I
10.1007/s10514-006-9011-x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes theoretical and experimental results using the SmartNav rule-free fuzzy rover navigation system. SmartNav divides the terrain perceived by the rover into a number of circular sectors, and evaluates each sector using goal and safety preference factors to differentiate between preferred and unpreferred terrain sectors. The goal-preference factor is used to make sector evaluation based on the sector orientation relative to the designated goal position. The safety-preference factors are used to make sector evaluations on the basis of the sector local and regional terrain hazards. Three methods are developed to blend the three sector evaluations in order to find the effective preference factor for each sector. Two sector selection methods are then described in which the sector preference factors are used to find the heading command for the rover. The rover speed command is also computed based on the goal distance and safety-preference factor of the chosen sector. The above navigation steps are continuously repeated throughout the rover motion. Experimental results are presented to demonstrate the navigational capabilities of SmartNav using a commercial Pioneer 2AT rover traversing a simulated Martian terrain at the JPL Mini Mars Yard.
引用
收藏
页码:165 / 182
页数:18
相关论文
共 50 条
  • [31] The Archimede Rover: A Comparison between Simulations and Experiments
    Caruso, Matteo
    Giberna, Marco
    Goerner, Martin
    Gallina, Paolo
    Seriani, Stefano
    [J]. ROBOTICS, 2023, 12 (05)
  • [32] Design of SMC rover : Development and basic experiments of arm equipped single wheel rover
    Kawakami, A
    Torii, A
    Hirose, S
    [J]. IROS 2001: PROCEEDINGS OF THE 2001 IEEE/RJS INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4: EXPANDING THE SOCIETAL ROLE OF ROBOTICS IN THE NEXT MILLENNIUM, 2001, : 96 - 101
  • [33] Mars Exploration Rover Navigation Camera in-flight calibration
    Soderblom, Jason M.
    Bell, James F., III
    Johnson, Jeffrey R.
    Joseph, Jonathan
    Wolff, Michael J.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS, 2008, 113 (E6)
  • [34] EXPERIMENTS ON BIRD NAVIGATION
    GRIFFIN, DR
    HOCK, RJ
    [J]. SCIENCE, 1948, 107 (2779) : 347 - 349
  • [35] Sensor-fused navigation and manipulation from a planetary rover
    Baumgartner, ET
    Leger, PC
    Schenker, PS
    Huntsberger, TL
    [J]. SENSOR FUSION AND DECENTRALIZED CONTROL IN ROBOTIC SYSTEMS, 1998, 3523 : 58 - 66
  • [36] Strapdown relative inertial navigation system design for a lunar rover
    Wang Liduan
    Zhan Xingqun
    Mang Yanhua
    Xu Hongliang
    [J]. SECOND INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY, PTS 1-3, 2007, 6795
  • [37] A high-accuracy autonomous navigation scheme for the Mars rover
    Zhao, Yunan
    Wang, Xinlong
    Li, Qunsheng
    Wang, Dun
    Cai, Yuanwen
    [J]. ACTA ASTRONAUTICA, 2019, 154 : 18 - 32
  • [38] Autonomous Rover Navigation Using GPS Based Path Planning
    Al Arabi, Abul
    Sakib, Hasib Ul
    Sarkar, Pranabesh
    Proma, Tanjina Piash
    Anowar, Jahedul
    Amin, M. Ashraful
    [J]. 2017 ASIA MODELLING SYMPOSIUM (AMS 2017) / 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELLING & COMPUTER SIMULATION, 2017, : 89 - 94
  • [39] The Navigation and Terrain Cameras on the Tianwen-1 Mars Rover
    Liang, Xiao
    Chen, Wangli
    Cao, Zhongxiang
    Wu, Fenzhi
    Lyu, Weizheng
    Song, Yuzhi
    Li, Danfeng
    Yu, Chengwu
    Zhang, Lin
    Wang, Li
    [J]. SPACE SCIENCE REVIEWS, 2021, 217 (03)
  • [40] Algorithms research of autonomous navigation and control of planetary exploration rover
    Cao, Menglong
    [J]. 2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 4359 - 4364