Computer Technology, Information Engineering |
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Visual trajectory planning for mobile robots based on hybrid artificial potential field |
DING Xia qing, DU Zhuo yang, LU Yi qing, LIU Shan |
College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China |
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Abstract A visual trajectory planning method was proposed based on hybrid artificial potential field for a nonholonomic mobile robot equipped with a monocular camera in consideration of field-of-view (FOV) constraints. A hybrid model was designed based on the concept of conventional artificial potential field. The model consisted of two parts. One part only affects the angular velocity and involves the terms for target deflection and field of view constraints, and the other part affects both the linear velocity and the angular velocity. The potential field for field of view constraints was defined based on the feature point coordinates in the image space. The potential fields for target deflection and the relative pose were calculated based on the scaled three-dimensional reconstruction results obtained from the decomposition of homography. The robot can be regulated to the desired pose with the targets kept in the field of view under the hybrid artificial potential field. Simulation results were provided in some representative circumstances to show the effectiveness of the proposed method.
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Published: 23 July 2016
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基于混合势场的移动机器人视觉轨迹规划
针对载有单目相机的非完整移动机器人,提出基于混合人工势场的能够满足非完整约束的路径规划方法,能够解决移动机器人运行过程中的视野约束问题.在传统人工势场的基础上,提出混合人工势场的概念,势场中一部分是只对角速度起作用的目标点偏转势场和视野约束排斥势场,另一部分是同时影响线速度和角速度的目标位姿吸引势场;其中视野约束排斥势场定义在图像空间内;目标位姿吸引势场和目标点偏转势场定义在笛卡尔空间,利用单应性矩阵三维重建的结果构造势场函数.在混合人工势场的控制下,机器人能够在同时满足视野约束和无侧滑约束的条件下平滑地移动到目标位姿.仿真结果证明了该方法的有效性.
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[1] 贾丙西,刘山,张凯祥,等. 机器人视觉伺服研究进展:视觉系统与控制策略[J]. 自动化学报,2015,41(5): 861-873.
JIA Bingxi, LIU Shan, ZHANG Kaixiang, et al. Survey on robot visual servo control: vision system and control strategies [J]. Acta Automatica Sinica, 2015, 41(5): 861-873.
[2] GONZALO L N, GANS N R, SOURABH B, et al . Homographybased control scheme for mobile robots with nonholonomic and fieldofview constraints [J]. IEEE Transactions on Systems Man and Cybernetics Part B Cybernetics, 2010, 40(4): 1115-1127.
[3] CAO Z C, YIN L J, FU Y L, et al. Predictive control for visual servo stabilization of nonholonomic mobile robots [J]. Acta Automatica Sinica, 2013, 39(8): 1238-1245.
[4] SCHRAMM F, MOREL G. Ensuring visibility in calibrationfree path planning for imagebased vicsual servoing [J]. IEEE Transactions on Robotics, 2006, 22(4): 848-854.
[5] CHESI G, PRATTICHIZZO D, VICINO A. Straight line pathplanning in visual servoing [J]. Journal of Dynamic Systems Measurement and Control Transactions of the ASME, 2007, 129(4): 541-543.
[6] CHESI G. Visual servoing path planning via homogeneous forms and LMI optimizations [J]. IEEE Transactions on Robotics, 2009, 25(2): 281-291.
[7] CHESI G, HUNG Y S. Global pathplanning for constrained and optimal visual servoing [J]. IEEE Transactions on Robotics, 2007, 23(5): 1050-1060.
[8] BORENSTEIN J, KOREN Y. Realtime obstacle avoidance for fast mobile robots [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1989, 19(5): 1179-1187.
[9] 朱毅,张涛,宋靖雁. 非完整移动机器人的人工势场法路径规划[J],控制理论与应用,2010,27(2): 152-158.
ZHU Yi, ZHANG Tao, SONG Jingyan. Path planning for nonholonomic mobile robots using artificial potential field method [J]. Control Theory and Applications,2010, 27(2): 152-158.
[10] FANG Yongchun, ZHANG Xuebo. Adaptive active visual servoing of nonholonomic mobile robots [J]. IEEE Transcations on Industrial Electronics, 2012, 59(1): 486-497.
[11] 李宝全,方勇纯,张雪波.基于2D 三焦点张量的移动机器人视觉伺服镇定控制[J],自动化学报,2014,40(12): 2706-2715.
LI Baoquan, FANG Yongchun, ZHANG Xuebo. 2D trifocal tensor based visual servo regulation of nonholonomic mobilerobots [J].Acta Automatica Sinica, 2014,40(12): 2706-2715.
[12] MEZOUAR Y, CHAUMETTE F. Path planning for robust imagebased control [J]. IEEE Transactions on Robotics and Automation, 2002, 18(4): 534-549.
[13] ZHANG Xuebo, FANG Yongchun, MA Bojun, et al. A fast homography decomposition technique for visual servo of mobile robots [C]∥ Proceedings of the 27th Chinese Control Conference. Beijing: Beihang University Press, 2008: 404-409.
[14] CHAUMETTE F, HUTCHINSON S. Visual servo control. I. basic approaches [J]. IEEE Robotics and Automation Magazine, 2006, 13(4): 82-90. |
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