中国科学院机构知识库网格系统: 检索

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	Robotic Grasping and Alignment for Small Size Components Assembly Based on Visual Servoing 期刊论文 OAI收割 International Journal of Advanced Manufacturing Technology., 2020, 卷号: 2020, 期号: 106, 页码: 4827-4843 作者: Yanqin Ma; Xilong Liu; Juan Zhang; De Xu; Dapeng Zhang \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/06/10 Grasping Alignment Monocular vision guidance Position offset compensation Visual servoing Robotic assembly
	Effectiveness of respiratory-gated radiotherapy with audio-visual biofeedback for synchrotron-based scanned heavy-ion beam delivery 期刊论文 OAI收割 PHYSICS IN MEDICINE AND BIOLOGY, 2016, 卷号: 61, 页码: 8541-8552 作者: He, Pengbo; Li, Qiang; Zhao, Ting; Liu, Xinguo; Dai, Zhongying \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2018/05/31 Scanned Heavy-ion Beam Therapy Target Motion Respiratory Gating Respiratory Guidance Personalized Audio-visual Biofeedback
	基于视觉导引的AGV研究与设计学位论文 OAI收割工程硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 樊浩收藏 \| 浏览/下载：121/0 \| 提交时间：2015/09/02 AGV 视觉导引航迹推演运动控制人机交互 AGV visual guidance track deduction Human-computer interaction motion control
	Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.