Abstract
Visual servoing is a control method to manipulate the motion of the robot using visual information, which aims to realize “working while watching.” However, the visual servoing towards moving target with hand–eye cameras fixed at hand is inevitably affected by hand dynamical oscillation. To overcome this defect of the hand–eye fixed camera system, an eye-vergence system has been put forward, where the pose of the cameras could be rotated to observe the target object. The visual servoing controllers of hand and eye-vergence are installed independently, so that it can observe the target object at the center of camera images through eye-vergence function. In this research, genetic algorithm (GA) is used as a pose tracking method, which is called “Real-Time Multi-step GA(RM-GA),” solves on-line optimization problems for 3D visual servoing. The performances of real-time object tracking using eye-vergence system and “RM-GA” method have been examined, and also the pose tracking accuracy has been verified.
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References
Hutchinson S, Hager GD, Corke PI (1996) A tutorial on visual servo control. Robot Autom IEEE Trans 12(5):651–670
Oh PY, Allen PK (2001) Visual servoing by partitioning degrees of freedom. Robot Autom IEEE Trans 17(1):1–17
Malis E, Chaumentte F, Boudet S (1999) 2–1/2-D visual servoing. Robot Autom IEEE Trans 15(2):238–250
Allen PK et al (1993) Automated tracking and grasping of a moving target with a robotic hand-eye system. Autom Robot Autom IEEE Trans 9(2):152–165
Song W, Minmami M, Mae Y, Aoyagi S. (2007) On-line evolutionary head pose measurement by feedforward stereo model matching. In: Robotics and automation. ICRA’07. 2007 IEEE international conference on IEEE, pp 4394–4400
Stavnitzky J, Capson D (2000) Multiple camera model-based 3-D visual servoing. Robot Autom IEEE Trans 16(6):732–739
Dune C, Marchand E, Leroux C (2007) One click focus with eye-in-hand/Eye-to-hand Cooperationh. In: Robotics and automation. 2007 IEEE international conference on IEEE, pp 2471–2476
Suzuki H, Minami M (2005) Visual servoing to catch fish using global/local GA Search. Mechatron IEEE/ASME Trans 10(3):352–357
Minami Song W (2009) Hand-eye-motion invariant pose estimation with On-line 1-step GA-3D pose tracking accuracy evaluation in dynamic hand-eye oscillation. J Robot Mechatron 21(6):709–719
Chesi G, Hung Y (2007) Global path-planning for constrained and optimal visual servoing. IEEE Trans Robot 23(5):1050–1060
Song W, Minami M, Yu F, Zhang Y, Yanou A (2011) 3-D hand & eye-vergence approaching visual servoing with lyapunouv-stable pose tracking. In Robotics and Automation,2011,ICRA’11. 2011 IEEE International Conference on IEEE, pp 5210–5217
Tian H, Cui Y, Minami M, Yanou A (2016) Frequency response experiments of eye-vergence visual servoing in lateral motion with 3D evolutionary pose tracking. Artif Life Robot 1(8):36–43
Song W, Minami M (2009) Hand & eye-vergence dual visual servoing to enhance observability and stability. In: Robotics and Automation, ICRA’09. IEEE International Conference on IEEE, pp 714–721
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Kou, Y., Tian, H., Minami, M. et al. Improved eye-vergence visual servoing system in longitudinal direction with RM-GA. Artif Life Robotics 23, 131–139 (2018). https://doi.org/10.1007/s10015-017-0408-8
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DOI: https://doi.org/10.1007/s10015-017-0408-8