摘要
针对无标定手眼机器人视觉伺服控制问题,提出了基于图像轨迹规划与时序控制相结合的视觉伺服方法。给出了图像平面和任务空间的轨迹规划方法,设计了卡尔曼滤波器估算目标与相机相对位姿,结合相机测量实现了雅可比矩阵的自适应估算。在此基础上设计了基于图像视觉反馈的视觉伺服控制器,实现了机器人的目标视觉跟踪。通过MATLAB仿真和实验研究对该算法进行了验证,并与经典PBVS(Position-based visual servoing)、IBVS (Image-based visual servoing)方法进行了比较试验,仿真及实验结果验证了该算法的有效性。
A visual servo method based on image trajectory planning and sequential control was proposed for uncalibrated eye-inhand robot system. First, the trajectory planning method in image space and task space was presented. Second, the Kalman filter was adopted to estimate the relative pose of the target to camera, and combined with camera measurement, the adaptive estimation of Jacobian matrix was realized. A visual servo controller with image feedback was designed to realize the visual tracking of target.At the end of this paper, this method and relative algorithm were verified by MATLAB simulations and experimental researches,and compared with classical PBVS(position-based visual servoing) and IBVS(image-based visual servoing) methods. The results verify the effectiveness of the method.
作者
黄正军
王桂锋
施卢丹
HUANG Zhengjun;WANG Guifeng;SHI Ludan(Jinhua Polytechnic,Jinhua 321017,Zhejiang,China)
出处
《机械科学与技术》
CSCD
北大核心
2022年第3期402-408,共7页
Mechanical Science and Technology for Aerospace Engineering
基金
浙江省基础公益研究计划(LGG19E050010)。
