While nowadays inspection and maintenance is mainly performed manually, the deployment of mobile robot systems could reduce the necessary resources for these tasks in the future. Within this paper major hindrances and...
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While nowadays inspection and maintenance is mainly performed manually, the deployment of mobile robot systems could reduce the necessary resources for these tasks in the future. Within this paper major hindrances and possible remedies for the deployment of teleoperated mobile robots in industrial environments are discussed. Specifically, concepts for the seamless integration of mobile robots into industrial infrastructures, for intuitive feedback and commanding of such robots as well as advanced user-interfaces are elaborated. It is discussed in how far this multi-modal approach promises to significantly improve the usability of teleoperated robots for industrial applications.
Modern power system is a typical multi-level complex giant system consisting of physical infrastructures, human operators, and social resources, etc. The conventional analytical methods and simulation systems can'...
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This paper is concerned with minimum error entropy filter design for non-linear Networked control Systems (NCSs) with multiple-packet transmission mechanism. Since the error of the filter in NCSs is generally non-Gaus...
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Permanent Magnet Synchronous Torque Motor (PMSTM) has the main characteristics of low speed, high torque, high precision and excellent stability, which can be applied to implement the direct driving technology for CNC...
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The rotation matrix estimation problem is a keypoint for mobile robot localization, navigation, and control. Based on the quaternion theory and the epipolar geometry, an extended Kalman filter (EKF) algorithm is propo...
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The rotation matrix estimation problem is a keypoint for mobile robot localization, navigation, and control. Based on the quaternion theory and the epipolar geometry, an extended Kalman filter (EKF) algorithm is proposed to estimate the rotation matrix by using a single-axis gyroscope and the image points correspondence from a monocular camera. The experimental results show that the precision of mobile robot s yaw angle estimated by the proposed EKF algorithm is much better than the results given by the image-only and gyroscope-only method, which demonstrates that our method is a preferable way to estimate the rotation for the autonomous mobile robot applications.
This paper investigates the problem of stability for a class of linear uncertain Markovian jump systems over networks via the delta operator approach. The sensor-to-controller random network-induced delay and arbitrar...
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The performance of vision-based control is usually limited by the low sampling rate of the visual feedback. We address Ping-Pong robotics as a widely studied example which requires high-speed vision for highly dynamic...
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The performance of vision-based control is usually limited by the low sampling rate of the visual feedback. We address Ping-Pong robotics as a widely studied example which requires high-speed vision for highly dynamic motion control. In order to detect a flying ball accurately and robustly, a multi-threshold segmentation algorithm is applied in a stereo-vision running at 150Hz. Based on the estimated 3D ball positions, a novel two-phase trajectory prediction is exploited to determine the hitting position. Benefiting from the high-speed visual feedback, the hitting position and thus the motion planning of the manipulator are updated iteratively with decreasing error. Experiments are conducted on a 7 degrees of freedom humanoid robot arm. A successful Ping-Pong playing between the robot arm and human is achieved with a high successful rate of 88%.
This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ide...
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Vehicle logo detection is of great importance in Intelligent Transportation System (ITS) applications since it augments the traditional License Plate Recognition (LPR) based vehicle identification solutions. An algori...
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ISBN:
(纸本)9781467330640
Vehicle logo detection is of great importance in Intelligent Transportation System (ITS) applications since it augments the traditional License Plate Recognition (LPR) based vehicle identification solutions. An algorithm based on the combination of feature appearance and symmetry is proposed to locate the vehicle logo in a digital image. The air-intake grille, as the most recognizable visual structure in the front view of the vehicle, can be efficiently detected and recognized thereby providing information about relative position of vehicle logos. Symmetry, a widely used feature for analyzing vehicle front-view images, has also been taken into consideration along with grille detection in this paper. This hybrid scheme facilitates more accurate vehicle logo detection rate in comparison with using isolated symmetry (which performs poorly on scenes with complex background) or edge statistics (which cannot handle non/small-grille vehicles). Experimental results on a large number of images validate the robustness and efficiency of the proposed algorithm.
作者：
Cheng ChangJiyang ZhangMingfei HanJie MaSongfeng WuWei ZhangHongwei XieFuchu HeYunping ZhuInstitutes of Biomedical Sciences and Department of Chemistry
130 DongAn RoadFudan UniversityShanghai 200032P.R.China State Key Laboratory of Proteomics
Beijing Proteome Research CenterNational Engineering Research Center for Protein DrugsNational Center for Protein Sciences BeijingInstitute of Radiation MedicineBeijing 102206P.R.China Department of Automatic ControlCollege of Mechatronics and AutomationNational University of Defense TechnologyChangshaHunan 410073China State Key Laboratory of ProteomicsBeijing Proteome Research CenterNational Engineering Research Center for Protein DrugsNational Center for Protein Sciences BeijingInstitute of Radiation MedicineBeijing 102206P.R.China
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