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#br# NAO机器人的视觉伺服物品抓取操作
引用本文:袁丽,田国会,李国栋. #br# NAO机器人的视觉伺服物品抓取操作[J]. 山东大学学报(工学版), 2014, 44(3): 57-63. DOI: 10.6040/j.issn.1672-3961.0.2013.359
作者姓名:袁丽  田国会  李国栋
作者单位:山东大学控制科学与工程学院, 山东 济南 250061
基金项目:国家自然科学基金资助项目(61075092);山东省自然科学基金资助项目(ZR2011FM011); 山东大学自主创新基金资助项目(2011JC017)
摘    要:针对家庭环境中服务机器人物品的抓取问题,提出一种改进的基于位置的视觉伺服抓取算法。首先,利用Naomark标签完成对物体的快速识别,并通过世界平面单应矩阵分解对物体的位姿进行估计;然后,对NAO机器人的机械臂进行运动学建模,并分别设计单臂和双臂抓取的视觉伺服控制律;最后,为进一步提高抓取的稳定性和鲁棒性,对末端执行器进行路径规划。实验结果表明,本方法能够快速、稳定地抓取目标物品。

关 键 词:运动学模型  视觉伺服  NAO机器人  单应分解  单臂/双臂抓取  
收稿时间:2013-11-29

Visual servo grasping of household objects for NAO robot
YUAN Li,TIAN Guohui,LI Guodong. Visual servo grasping of household objects for NAO robot[J]. Journal of Shandong University of Technology, 2014, 44(3): 57-63. DOI: 10.6040/j.issn.1672-3961.0.2013.359
Authors:YUAN Li  TIAN Guohui  LI Guodong
Affiliation:School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China
Abstract:An improved position based visual servo (PBVS) grasping algorithm was proposed for the service robot in home environment. First, the rapid identification of object was achieved by using Naomark, and the position and pose information of the object was estimated through the world homography matrix decomposition. Secondly, the kinematic model of the NAO robot′s arm was established, and PBVS control law was designed for either unimanual or bimanual grasping. Finally, for purpose of improving the stability and robustness of the grasping operation, path planning of the end effector was added to the original PBVS control law. Experimental results showed that the proposed method could grasp the objects rapidly and stably.
Keywords:visual servo,NAO robot  homography decomposition,kinematic model  unimanual/bimanual grasp,
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