A Visual-Inertial Servoing Method for Tracking Object with Two Landmarks and an Inertial Measurement Unit

被引:7
作者
Nguyen, Ho-Quoc-Phuong [2 ]
Kang, Hee-Jun [1 ]
Suh, Young-Soo [1 ]
机构
[1] Univ Ulsan, Sch Elect Engn, Ulsan 680749, South Korea
[2] Univ Ulsan, Grad Sch Elect Engn, Ulsan 680749, South Korea
关键词
Attitude estimation; inertial sensors; task function approach; visual servoing; visual-inertial jacobian; VISION; MOTION;
D O I
10.1007/s12555-011-0214-3
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 introduces a robot visual-inertial tracking algorithm for a robot manipulator intended to track an object using inertial sensors incorporated into the object. To create this algorithm, the inertial Jacobian is first newly defined in order to show the relationship between an angle set velocity vector of the object and the angular velocity vector of the robot tip. Then, the inertial Jacobian is combined with the conventional image Jacobian. Therefore, the proposed algorithm requires only two landmarks with the help of an inertial measurement unit to track a moving object with six degrees of freedom, while at least three landmarks are required in the conventional stereo visual servoing algorithm. Further, the possession of a multi-rate controller allows the integration system to out-perform conventional systems in the tracking of an object's attitude change. A suggested application of the proposed method is tracking and selection of a container from a shipping vessel that is being affected by large waves. Simulations and experiments were conducted to verify the feasibility of the proposed methodology.
引用
收藏
页码:317 / 327
页数:11
相关论文
共 24 条
  • [1] Visual servo control - Part II: Advanced approaches
    Chaumette, Francois
    Hutchinson, Seth
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2007, 14 (01) : 109 - 118
  • [2] Viosual servo control - Part I: Basic approaches
    Chaumette, Francois
    Hutchinson, Seth
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2006, 13 (04) : 82 - 90
  • [3] Fusion of vision and inertial data for motion and structure estimation
    Chroust, SG
    Vincze, M
    [J]. JOURNAL OF ROBOTIC SYSTEMS, 2004, 21 (02): : 73 - 83
  • [4] An introduction to inertial and visual sensing
    Corke, Peter
    Lobo, Jorge
    Dias, Jorge
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2007, 26 (06) : 519 - 535
  • [5] A new partitioned approach to image-based visual servo control
    Corke, PI
    Hutchinson, SA
    [J]. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2001, 17 (04): : 507 - 515
  • [6] Craig J.J., 2005, INTRO ROBOTICS MECH, V3
  • [7] A NEW APPROACH TO VISUAL SERVOING IN ROBOTICS
    ESPIAU, B
    CHAUMETTE, F
    RIVES, P
    [J]. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1992, 8 (03): : 313 - 326
  • [8] VISION-GUIDED SERVOING WITH FEATURE-BASED TRAJECTORY GENERATION
    FEDDEMA, JT
    MITCHELL, OR
    [J]. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1989, 5 (05): : 691 - 700
  • [9] Gracia L, 2009, INT J CONTROL AUTOM, V7, P764, DOI [10.1007/S12555-009-0509-9, 10.1007/s12555-009-0509-9]
  • [10] HASHIMOTO K, 1993, VISUAL SERVOING, V7, P165