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	Coordinated Motion Planning of Independent Manipulators in Precision Manipulation 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 11, 页码: 6933-6942 作者: Xing, Dengpeng; Liu, Fangfang; Xu, De \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2020/08/31 Manipulators Force Estimation Task analysis Planning Robot kinematics Coordinated operation independent movement planning intention estimation
	Robust 3D Indoor Map Building via RGB-D SLAM with Adaptive IMU Fusion on Robot 会议论文 OAI收割上海, 2017.9 作者: Meng XR(孟馨蕊); Gao W(高伟); Hu ZY(胡占义) \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2018/05/30 Camera Pose Estimation Rgb-d Slam Imu Robot Movement Pattern Calibration
	Continuous Estimation of Human Multi-joint Angles from sEMG Using a State-space Model 期刊论文 OAI收割 IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016, 页码: 1-11 作者: Ding QC(丁其川); Han JD(韩建达); Zhao XG(赵新刚) 收藏 \| 浏览/下载：51/0 \| 提交时间：2017/03/26 Surface electromyography (sEMG) closed-loop estimation multi-joint movement redundancy segmentation
	sEMG Based Movement Quantitative Estimation of Joins Using SVM Method 会议论文 OAI收割 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, August 24-29, 2014 作者: Liu, Dongsheng; Zhao XG(赵新刚); Ye D(叶丹); Zhao YW(赵忆文); Wu ZW(吴镇炜) 收藏 \| 浏览/下载：49/0 \| 提交时间：2014/12/29 sEMG movement estimation quantitative estimation SVM method rehabilitation robot
	基于单目视觉的运动目标参数估计学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者: 陈国栋收藏 \| 浏览/下载：51/0 \| 提交时间：2015/09/02 打乒乓球机器人视觉测量姿态估计运动特征提取旋转信息估计智能相机 table tennis robot visual measurement pose estimation extraction of movement features rotational information estimation smart camera
	Kalman filter for pointing deviation delay compensation in a TV tracker (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Juan C.; Wang Q.-P.; Jian C. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 Considering the pointing deviation delay in the TV tracker which heavily worsens the tracking precision here we offer an improved Kalman filter algorithm to compensate the delay. The output speed from the filter is fed forward to the speed loop for the compound control to increase the speed constant. The simulation results based on the experiment data show that the method can effectively estimate the position consequently the speed and accelerate and the tracking precision is improved. The estimation precision of the speed and accelerate depend on that if the state model is coherent with the movement of the real target. 2010 IEEE.