[1]许少秋,陈根良,唐楚禹.基于傅里叶描述子的平面物体表征与抓取规划[J].机械与电子,2022,(07):61-68.
　XU Shaoqiu,CHEN Genliang,TANG Chuyu.Planar Object Representation and Grasp Planning Based on Fourier Descriptor[J].Machinery & Electronics,2022,(07):61-68.
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基于傅里叶描述子的平面物体表征与抓取规划()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年07期
页码:
61-68
栏目:
智能工程
出版日期:
2022-07-28

文章信息/Info

Title:
Planar Object Representation and Grasp Planning Based on Fourier Descriptor
文章编号:
1001-2257 ( 2022 ) 07-0061-08
作者:
许少秋; 陈根良; 唐楚禹
上海交通大学机械与动力工程学院,上海 200240
Author(s):
XU Shaoqiu ;  CHEN Genliang ;  TANG Chuyu
( School of Mechanical Engineering , Shanghai Jiao Tong University , Shanghai 200240 , China )
关键词:
轮廓提取; 傅里叶描述子; 凸包推进; 抓取规划
Keywords:
contour extraction ;  Fourier descriptor ;  convex hull propulsion ;  grasp planning
分类号:
TP241.3 ; TP242.6
文献标志码:
A
摘要:
针对传统抓取规划方法难以计算复杂轮廓物体、计算量大耗时长的弊端,以及基于深度学习的抓取规划方法物理模型简单、训练集制作耗时长的缺陷,提出了一种基于傅里叶描述子的平面物体表征及抓取规划方法。对物体进行图像采集和轮廓提取,将以散点形式表示的轮廓转化为傅里叶描述子,提取高阶项从而还原物体轮廓,构造了轮廓的参数方程。根据轮廓参数方程和接触点位置,使用不同接触模型构造抓取映射矩阵,采用凸包推进算法计算不同抓取位姿在力 力矩空间上的抓取性能指标。基于抓取性能指标,采用一种改进的粒子群方法进行抓取点规划,在二指夹持器和四指夹持器模型上进行了仿真验证。
Abstract:
Aiming at the disadvantages of traditional grasp planning methods , such as difficulty in calculating objects with complex contours , large consumption of computation time , as well as the disadvantages of grasp planning methods based on deep learning , such as simple physical model and long time consuming in making training set , a method of planar object representation and grasp planning based on Fourier descriptor is proposed.The image of the object is collected and the contour is extracted.The contour represented by scatter points is transformed into Fourier descriptor , and the high-order terms are extracted to restore the object contour , so the parameter equation of the contour is constructed.According to the contour parameter equation and the positions of contact points , the grasping mapping matrix is constructed using different contact models , and the grasping quality measures of different grasp poses in force-moment space are calculated by convex hull propulsion algorithm.Based on the grasping quality measure , an improved particle swarm optimization method is used to plan the grasping points , and the method is verified by simulation on both two-finger gripper and four-finger gripper models.

参考文献/References:

[ 1 ] 赵铖 . 基于鳍条结构的欠驱动柔性手爪技术研究[ D ] .北京:清华大学,2018.

[ 2 ] 刘少 丽 . 浅谈工业机械手设计 [ J ] . 机电工程技术,2011 , 40 ( 7 ): 45-46 , 149 , 170.
[ 3 ] 文双全 . 机器人多指手抓取规划算法研究[ D ] . 杭州:浙江大学,2012.
[ 4 ] 郑宇 . 多指抓取的封闭性、最优规划与动态力分配研究[ D ] . 上海:上海交通大学,2007.
[ 5 ] ZHU X Y , DING H.Grasp synthesis and fixture layout design in discrete domain [ C ] ∥IEEE International Conference on Automation Science and Engineering.New York : IEEE , 2005 : 73-78.
[ 6 ] LIU T , WANG M Y.Passive force analysis with elastic contacts for fixturing and grasping [ C ] ∥2009 IEEE International Conference on Robotics and Automation. New York : IEEE , 2009 : 1691-1696.
[ 7 ] ZENG A , SONG S , WELKER S , et al.Learning synergies between pushing and grasping with self-supervised deep reinforcement learning [ C ] ∥2018 IEEE / RSJ International Conference on Intelligent Robots and Systems( IROS ) .New York : IEEE , 2018 : 4238-4245.
[ 8 ] LENZ I , LEE H , SAXENA A.Deep learning for detecting robotic grasps [ J ] .The international journal of robotics research , 2015 , 34 ( 4 / 5 ): 705-724.
[ 9 ] CANNY J.A computational approach to edge detection[ J ] .IEEE Transactions on pattern analysis and machine intelligence , 1986 , 8( 6 ): 679-698.
[ 10 ] ZAHN C T , ROSKIES R Z.Fourier descriptors for plane closed curves [ J ] .IEEE Transactions on computers , 1972 , 100 ( 3 ): 269-281.
[ 11 ] 摩雷 . 机器人操作的数学导论[ M ] . 北京:机械工业出版社,1998.
[ 12 ] ROA M A , SUáREZ R.Grasp quality measures : review and performance [ J ] .Autonomous robots , 2015 , 38 : 65-88.
[ 13 ] ROA M A , SUáREZ R.Computation of independent contact regions for grasping 3-d objects [ J ] .IEEE Transactions on robotics , 2009 , 25 ( 4 ): 839-850.
[ 14 ] 陈根良 . 操作机构尺寸与变形误差传递的统一建模方法研究[ D ] . 上海:上海交通大学,2014.
[ 15 ] 赵维浩,苏宾,夏筱筠 . 一种易跳出局部最优的粒子群优化算法[ J ] . 电子测试, 2017 ( 7 ): 53-54.
[ 16 ] EBERHART R C , SHI Y H.Particle swarm optimization : developments , applications and resources [ C ] ∥ The 2001 Congress on Evolutionary Computation. New York : IEEE , 2001 : 81-86.

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备注/Memo

备注/Memo:
收稿日期: 2022-02-13
基金项目:国家科技重大专项( 2019YFA0709001 )
作者简介:许少秋 ( 1997- ),男,上海人,硕士研究生,研究方向为机器视觉和机器人抓取;陈根良 ( 1982- ),男,上海人,博士,教授,博士研究生导师,研究方向为机器人机构学和装配自动化技术。
更新日期/Last Update: 2022-08-25