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基于视觉标志间相对位姿的可变形臂标定方法

郝洁 李高峰 孙雷 卢翔 张森 刘景泰

郝洁, 李高峰, 孙雷, 卢翔, 张森, 刘景泰. 基于视觉标志间相对位姿的可变形臂标定方法. 自动化学报, 2018, 44(8): 1413-1424. doi: 10.16383/j.aas.2017.c160693
引用本文: 郝洁, 李高峰, 孙雷, 卢翔, 张森, 刘景泰. 基于视觉标志间相对位姿的可变形臂标定方法. 自动化学报, 2018, 44(8): 1413-1424. doi: 10.16383/j.aas.2017.c160693
HAO Jie, LI Gao-Feng, SUN Lei, LU Xiang, ZHANG Sen, LIU Jing-Tai. Relative-pose-of-markers Based Calibration Method for a Deformable Manipulator. ACTA AUTOMATICA SINICA, 2018, 44(8): 1413-1424. doi: 10.16383/j.aas.2017.c160693
Citation: HAO Jie, LI Gao-Feng, SUN Lei, LU Xiang, ZHANG Sen, LIU Jing-Tai. Relative-pose-of-markers Based Calibration Method for a Deformable Manipulator. ACTA AUTOMATICA SINICA, 2018, 44(8): 1413-1424. doi: 10.16383/j.aas.2017.c160693

基于视觉标志间相对位姿的可变形臂标定方法

doi: 10.16383/j.aas.2017.c160693
基金项目: 

天津市应用基础与前沿技术研究计划 15JCZDJC31200

天津市应用基础与前沿技术研究计划 14ZCDZGX00798

国家自然科学基金 61105096

国家自然科学基金 61375087

国家高技术研究发展计划(863计划) 2012AA041403

详细信息
    作者简介:

    郝洁 南开大学机器人与信息自动化研究所硕士研究生.国家知识产权局专利局专利审查协作天津中心专利审查员.2012年获得河北工业大学学士学位.2015年获得南开大硕士学位.主要研究方向为家庭服务机器人.E-mail:haojierobot@163.com

    孙雷 南开大学机器人与信息自动化研究所副教授.1999年获得天津大学学士学位.2002年获得天津大学硕士学位.2005年获得南开大学博士学位.主要研究方向为机器人与自动控制, 网络遥操作机器人, 无线传感网络.E-mail:sunl@nankai.edu.cn

    卢翔 南开大学机器人与信息自动化研究所博士研究生.2010年获得南开大学学士学位.2015年获得南开大学博士学位.主要研究方向为单目视觉.E-mail:luxiangnk@hotmail.com

    张森  南开大学机器人与信息自动化研究所博士研究生.2011年获得天津大学学士学位.主要研究方向为移动机器人运动规划, 家庭服务机器人.E-mail:zhangs@mail.nankai.edu.cn

    刘景泰  泰南开大学机器人与信息自动化研究所教授.1983年获得天津大学学士学位.1986年获得天津大学硕士学位.1998年获得南开大学博士学位.主要研究方向为机器人技术, 计算机应用与信息自动化系统, 智能科学与技术.E-mail:liujt@nankai.edu.cn

    通讯作者:

    李高峰 南开大学机器人与信息自动化研究所博士研究生.2013年获得南开大学学士学位.主要研究方向为机器人视觉伺服, 李群, 操作臂运动学.本文通信作者.E-mail:gaofengli@mail.nankai.edu.cn

Relative-pose-of-markers Based Calibration Method for a Deformable Manipulator

Funds: 

Natural Science Foundation of Tianjin 15JCZDJC31200

Natural Science Foundation of Tianjin 14ZCDZGX00798

National Natural Science Foundation of China 61105096

National Natural Science Foundation of China 61375087

National High Technology Research and Development Program of China (863 Program) 2012AA041403

More Information
    Author Bio:

    Master student at the Institute of Robotics and Automatic Information System, Nankai University, patent examiner at the Patent Examination Cooperation Tianjin Center of the Patent Office.SIPO. She received her bachelor degree from Hebei University of Technology in 2012 and master degree from Nankai University in 2015. Her research interest covers home service robots

    Associate professor at Nankai University. He received his bachelor and master degrees from Tianjin University, in 1999 and 2002, and Ph.D.degree from Nankai University, in 2005, respectively. His research interest covers robotics and automatic control, teleoperation of robots in networks, and wireless sensor network

    Ph.D.candidate at the Institute of Robotics and Automatic Information System, Nankai University.He received his bachelor degree from Nankai University in 2010 and Ph.D.degree from Nankai University in 2015, respectively.His research interest covers monocular vision

    Ph.D.candidate at the Institute of Robotics and Automatic Information System, Nankai University.He received his bachelor degree from Tianjin University in 2011.His research interest covers motion planning of mobile robots, and home service robots

    Professor at the Institute of Robotics and Automatic Information System, Nankai University. He received his bachelor and master degrees from Tianjin University, in 1983 and 1986, and Ph.D.degree from Nankai University, in 1998. His research interest covers robotics, computer applications and information automation system and intelligence science and technology

    Corresponding author: LI Gao-Feng Ph.D.candidate at the Institute of Robotics and Automatic Information System, Nankai University. He received his bachelor degree from Nankai University in 2013. His research interest covers robotic visual servoing, Lie group, and kinematics of manipulator.Corresponding author of this paper
  • 摘要: 针对家庭服务机器人工作的非结构化环境, 本文设计了一种可以根据任务需求相应地调整连杆形状的可变形操作臂.该操作臂工作空间易于拓展、灵活度较高且成本低廉.但连杆形状的改变给操作臂的建模和控制带来了困难.首先, 可变形臂的运动学参数发生了巨大且无规律的变化, 使得固结在操作臂连杆上的关节坐标系可能脱离操作臂本体, 变得不可测量.其次, 为适应不同任务需求, 可变形臂的连杆形状需要经常改变, 而传统标定方法往往追求更高的标定精度而非标定效率.最后, 可变形臂的标定方法必须低成本且易于在家庭环境中实施, 而基于激光等传感器的标定方法设备价格昂贵, 对实验环境要求严格, 不便于在家庭中实施.因此, 一种廉价、快速、易于实施的标定方法是可变形臂应用的基础.本文分别基于Denavit-Hartenberg(DH)模型和旋量模型提出了基于视觉标志块间相对位姿测量的标定算法, 该算法在标志块处建立虚拟关节, 通过测量不同标志块间的相对位姿可快速、高效地获取可变形臂的运动学参数.实验说明了两种标定方法的有效性, 同时还表明旋量模型更适合可变形臂的建模.最后, 本文给出了利用可变形臂进行点触任务操作的实例, 展示出可变形操作臂在家庭使用中的优势.
    1)  本文责任编委 侯增广
  • 图  1  可变形连杆发生形变后对DH参数的影响

    Fig.  1  The change in DH parameters caused by the deformable link

    图  2  可变形连杆发生形变后对旋量参数的影响

    Fig.  2  The change in screw parameters caused by the deformable link

    图  3  可变形操作臂样机

    Fig.  3  Prototype of the deformable manipulator

    图  4  可变形操作臂和传统刚性臂的工作空间与不同任务空间的重合度比较

    Fig.  4  Comparison of the deformable and rigid manipulator facing two task spaces

    图  5  具有两个可变形连杆的四自由度操作臂及其标定系统

    Fig.  5  A deformable manipulator with four DOFs and two deformable links and its calibration system

    图  6  可变形操作臂的DH模型

    Fig.  6  DH model of the deformable manipulator

    图  7  第$k$个臂形下可变形操作臂DH模型示意图

    Fig.  7  DH model of the deformable manipulator in\\ the $k$-th configuration

    图  8  基于旋量理论的可变形操作臂运动学模型

    Fig.  8  Kinematics model of the deformable manipulator based on screw theory

    图  9  可变形操作臂参数标定的实验平台

    Fig.  9  Experimental platform for parameters calibration of the deformable manipulator

    图  10  可变形操作臂点触任务实验设置

    Fig.  10  The experiments setup for the deformable manipulator in touching tasks

    图  11  传统臂形下进行点触任务作业仿真实验

    Fig.  11  The simulation of touching tasks by deformable manipulator in traditional configuration

    图  12  可变形操作臂点触任务实例

    Fig.  12  The touching tasks for the deformable manipulator

    表  1  可变形操作臂DH参数表

    Table  1  DH parameters of the deformable manipulator

    $i$ ${\alpha _{i - 1}}$ ${a_{i - 1}}$ ${\theta _{i}}$ ${d _{i}}$
    1 0 0 ${\theta _{1}}$ $d _{1}$
    2 $-\pi /2$ 0 ${\theta_{2}}+\Delta \theta _{2}$ $d _{2}$
    3 ${\alpha _2}$ ${a _2}$ ${\theta _{3}}+\Delta\theta _{3}$ $d _{3}$
    4 ${\alpha _3}$ ${a _3}$ ${\theta _{4}}+\Delta\theta _{4}$ $d _{4}$
    $w$ 0 $L_w$ 0 0
    下载: 导出CSV

    表  2  第$k$个臂形下虚拟操作臂的DH模型参数表

    Table  2  DH parameters of the virtual manipulator in the $k$-th configuration

    $i^{\left(k\right)}$ ${\alpha _{i - 1}^{\left(k\right)}}$ ${a_{i - 1}^{\left(k\right)}}$ ${\theta _{i}^{\left(k\right)}}$ ${d _{i}^{\left(k\right)}}$
    1 0 0 ${\theta _{1}}$ $d _{1}$
    2 $-\pi /2$ 0 $\theta _2 + \underline {{\Delta \theta _{2}^{\left(k\right)}}}$ $\underline {{d _{2}^{\left(k\right)}}}$
    3 $\underline{{\alpha _{2}^{\left(k\right)}}}$ $\underline{{a _{2}^{\left(k\right)}}}$ $\theta _3 + \underline {{\Delta \theta _{3}^{\left(k\right)}} + {\theta _{M_3}^{\left(k\right)}}}$ $\underline {{d_{3}^{\left(k\right)}} + {d_{M_3}^{\left(k\right)}} } $
    4 $\underline {{\alpha _{3}^{\left(k\right)}}} $ $\underline {{a_{3}^{\left(k\right)}}} $ $\theta _4 + \underline {{\Delta \theta _{4}^{\left(k\right)}} - {\theta _{M_3}^{\left(k\right)}}} $ $\underline {{d_{4}^{\left(k\right)}} - {d_{M_3}^{\left(k\right)}} } $
    $w$ 0 $L_w$ 0 0
    下载: 导出CSV

    表  3  可变形操作臂第$k$个臂形的参数标定的初值的结果

    Table  3  The raw calibration results of the deformable manipulator in the $k$-th configuration

    $i^{\left(k\right)}$ ${\alpha _{i - 1}^{\left(k\right)}}$ ${a_{i - 1}^{\left(k\right)}}$ ${\theta _{i}^{\left(k\right)}}$ ${d _{i}^{\left(k\right)}}$
    $1$ 0 0 ${\theta _{1}}$ $d _{1}$
    $2$ $-90^{\circ}$ 0 $\theta _{2}+(\underline {{-2.81^{\circ}}})$ $\underline {-150.60}$
    $3$ $\underline{-81.97^{\circ}}$ $\underline{269.46}$ $\theta _{3}+(\underline {-7.28^{\circ}})$ $\underline {-116.54} $
    $4$ $\underline {138.73^{\circ}} $ $\underline {160.08} $ $\theta _{4}+(\underline {-109.26^{\circ}})$ $\underline {29.13} $
    $w$ 0 $Lw$ 0 0
    下载: 导出CSV

    表  4  可变形臂DH参数标定的初值的位姿误差

    Table  4  Pose errors of the deformable manipulator based on raw calibrated DH parameters

    误差类型 误差分量
    位置误差(mm) $39.95 \pm 12.82$ $X$ $-13.54 \pm 13.41$
    $Y$ $26.54 \pm 7.76$
    $Z$ $19.17 \pm 16.57$
    欧拉角姿态误差$(^\circ)$ $4.66\pm 0.86$ $\alpha$ $-0.30 \pm 0.36$
    $\beta$ $0.66 \pm 0.33$
    $\gamma$ $3.61 \pm 0.62$
    下载: 导出CSV

    表  5  可变形臂旋量模型参数标定的初值的位姿误差

    Table  5  Pose errors of the deformable manipulator based on raw calibrated screw parameters

    误差类型 误差分量
    位置误差(mm) $39.57 \pm 22.31$ $X$ $-30.61 \pm 24.13$
    $Y$ $4.21 \pm 14.83$
    $Z$ $-4.88 \pm 17.31$
    欧拉角姿态误差$(^{\circ})$ $0.25 \pm 0.18$ $\alpha$ $0.09 \pm 0.17$
    $\beta$ $0.05 \pm 0.08$
    $\gamma$ $-0.03 \pm 0.04$
    下载: 导出CSV

    表  6  传统臂形下进行点触任务作业仿真实验

    Table  6  The simulation of touching tasks by deformable manipulator in traditional configuration

    序号 点触目标点$\left({\rm mm}\right)$ 有效点触位姿点触角$\alpha$ $\left(^\circ \right)$
    1 $\left(-400.0, 280.0, -2.0\right)^{\rm T}$ 23.17
    2 $\left(-400.0, 200.0, -80.0\right)^{\rm T}$ 17.77
    3 $\left(-400.0, 160.0, 280.0\right)^{\rm T}$ 2.97
    4 $\left(-400.0, 185.0, 200.0\right)^{\rm T}$ 18.17
    5 $\left(-400.0, 230.0, 40.0\right)^{\rm T}$ 无解$\left(29.76\right)$
    6 $\left(-400.0, 290.0, -160.0\right)^{\rm T}$ 无解
    7 $\left(-400.0, 340.0, 360.0\right)^{\rm T}$ 无解
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-09-28
  • 录用日期:  2017-05-26
  • 刊出日期:  2018-08-20

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