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浙江大学学报(工学版)
浙江大学学报(工学版)
计算机技术、信息工程     
基于混合势场的移动机器人视觉轨迹规划
丁夏清,杜卓洋,陆逸卿,刘山
浙江大学 控制科学与工程学院,浙江 杭州 310027
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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摘要：

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.
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．
出版日期: 2016-07-23
:  TP 242  
基金资助:

 国家自然科学基金资助项目(61273133)
通讯作者: 刘山，男，副教授. ORCID：0000-0003-1504-341X.     E-mail: sliu@iipc.zju.edu.cn
作者简介: 丁夏清（1994-），女，本科生，从事视觉伺服的研究. ORCID：0000-0001-7802-0130.E-mail: xqding@zju.edu.cn
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引用本文:

丁夏清,杜卓洋,陆逸卿,刘山. 基于混合势场的移动机器人视觉轨迹规划[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.07.011.

DING Xia qing, DU Zhuo yang, LU Yi qing, LIU Shan. Visual trajectory planning for mobile robots based on hybrid artificial potential field. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.07.011.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.07.011    或    http://www.zjujournals.com/eng/CN/Y2016/V50/I7/1298

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