Research on Autonomous Grasping Control of Underwater Manipulator Based on Visual Servo
Zhang ZY(张子扬)1,2,3; Wang C(王聪)1,2; Zhang QF(张奇峰)1,2; Li YP(李一平)1,2; Feng XS(封锡盛)1,2; Wang Y(王永)3
2019
会议日期November 22-24, 2019
会议地点Hangzhou, China
关键词underwater manipulator monocular visual servo underwater autonomous operation ArUco
页码2904-2910
英文摘要To address the problem associated with the low efficiency and intelligence level of underwater master-slave operation method, a grasping control method of underwater manipulator, on the basis of monocular vision servo, is proposed to improve the autonomous capability of underwater operation. Typical underwater objects can be grasped accurately and quickly. Firstly, ArUco marker is used to obtain accurate position information at a high rate of speed, attitude information is also calculated based on the shape and color of target in key frames from video stream at the same time. Grasping method is adopted automatically according to specific position and attitude of the target. Experiments are carried out with the 7-function underwater hydraulic manipulator developed by Shenyang Institute of Automation, Chinese Academy of Sciences. The manipulator is programmed to grasp the object automatically based on visual servo and place it to the appointed position. Both land and underwater experiments validated that the adopted control method of manipulator in this paper meets the actual needs of underwater operation.
产权排序1
会议录Proceedings - 2019 Chinese Automation Congress, CAC 2019
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-4094-0
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/26412]  
专题沈阳自动化研究所_水下机器人研究室
通讯作者Wang Y(王永)
作者单位1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
3.University of Science and Technology of China, Department of Automation, Hefei 230026, China
推荐引用方式
GB/T 7714
Zhang ZY,Wang C,Zhang QF,et al. Research on Autonomous Grasping Control of Underwater Manipulator Based on Visual Servo[C]. 见:. Hangzhou, China. November 22-24, 2019.
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