Over the past years, many efforts have been made in the estimation of the physiological age based on the human MRI brain images. In this paper, we propose a novel regression model with surface-based features to estima...
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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.
The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are co...
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The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are computed from at least five corresponding points in the two images captured before and after the movement. In the second step, the translation parameters in the relative pose are obtained with at least two corresponding points in the two images captured before and after one step motion. Experiments are conducted to verify the effectiveness of the proposed method.
In this paper, a symbol identifier based recognition and relative positioning approach suitable for multi-robot systems is proposed. The symbol identifier is composed of central area and peripheral area, and there exi...
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Identification and analysis of tissue-specific (TS) genes and their regulatory activities play an important role in the understanding of mechanisms of organisms, disease diagnosis and drug design. In this paper, we de...
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The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot *** paper investigates a systematic method to formulate a Central Pattern Generator(CPG) ba...
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The neural-based approaches inspired by biological neural mechanisms of locomotion are becoming increasingly popular in robot *** paper investigates a systematic method to formulate a Central Pattern Generator(CPG) based control model for mul-timodal swimming of a multi-articulated robotic fish with flexible pectoral fins.A CPG network is created to yield diverse swim-ming in three dimensions by coupling a set of nonlinear neural oscillators using nearest-neighbor *** particular,a sensitivity analysis of characteristic parameters and a stability proof of the CPG network are *** the coordinated con-trol of the joint CPG,caudal fin CPG,and pectoral fin CPG,a diversity of swimming modes are defined and successfully *** latest results obtained demonstrate the effectiveness of the proposed *** is also confirmed that the CPG-based swimming control exhibits better dynamic invariability in preserving rhythm than the conventional body wave method.
作者：
Chen, ChaoDuan, Xing-GuangWang, Xing-TaoZhu, Xiang-YuLi, MengIntelligent Robotics Institute
Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology #5Zhongguancun South Street Haidian Beijing China China
As the complex anatomical structure of the maxillofacial region, the surgery in this area is high risk and difficult to implement. Then, a multi-arm medical robot assisted maxillofacial surgery using optical navigatio...
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With the development of image sensors and embedded technology, smart cameras become one of the most important developing directions because of its advantages in small size, low power consumption, low cost and high rel...
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With the development of image sensors and embedded technology, smart cameras become one of the most important developing directions because of its advantages in small size, low power consumption, low cost and high reliability. In this paper, we present the development and current situation of smart cameras. Then the system structure and key technology of smart cameras are described in detail. In the end, we introduce the applications of smart cameras, and the development trend of smart cameras.
Opinion mining has gained increasing attention and shown great practical value in recent years. Existing research on opinion mining mainly focuses on the extraction of lexicon orientation and opinion targets. The expl...
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