This paper presents an adaptive controller equipped with disturbance rejection capability for a 6 degrees of freedom (6-DOF) parallel manipulator. The control scheme is proposed given that the 6-DOF parallel manipulat...
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The paper presents a theorem to show the relationship between the parameters of the Moving Average (MA) process and those of its inversed process. The theorem can be used for the parameter identification of the MA pro...
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ISBN:
(纸本)9787894631046
The paper presents a theorem to show the relationship between the parameters of the Moving Average (MA) process and those of its inversed process. The theorem can be used for the parameter identification of the MA process. It is further shown in this paper that the parameter identification of autoregressive moving average with exogenous variable model (ARMAX), based on the identification of its MA part, can be easily achieved. The approach, at first, achieves the identification of the ARX part by directly using least-square estimations to find out a straightforward relationship between estimated parameters and observed data. Then, the inversed model of the MA part is identified in a similar way. Finally, the noise variance can be computed by using identified MA parameters. Numerical simulations validate the effectiveness and efficiency of the proposed approach.
Magnetic soft microrobots have great potential to access narrow spaces and conduct multiple tasks in the biomedical *** now,drug delivery,microsurgery,disease diagnosis,and dredging the blocked blood vessel have been ...
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Magnetic soft microrobots have great potential to access narrow spaces and conduct multiple tasks in the biomedical *** now,drug delivery,microsurgery,disease diagnosis,and dredging the blocked blood vessel have been realized by magnetic soft microrobots in vivo or in ***,as the tasks become more and more complex,more functional units have been embedded in the body of the developed magnetic *** magnetic soft microrobots with complex designed geometries,mechanisms,and magnetic orientation are now greatly challenging the fabrication of the magnetic *** this paper,we propose a new method combining photopolymerization and assembly for the fabrication of magnetic soft *** the micro-hand assembly {2.,magnetic modules with different shapes and materials are firstly arrayed with precise position and orientation ***,the developed photopolymerization {2. is employed to fix and link these modules with soft *** on the proposed fabrication method,3 kinds of soft magnetic microrobots were fabricated,and the fundamental locomotion was *** believe that the presented fabrication strategy could help accelerate the clinical application of magnetic microrobots.
The importance of testing for multi-targets detecting and tracking algorithms accelerates the current technologies of target-creator system which provides multiple and various targets. Traditional target-creator syste...
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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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The code tracking error model of coherent Code tracking loop (CTL) is modified since existing model cannot accurately describe the characteristic that the code tracking error is determined by multipath and correlator ...
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The code tracking error model of coherent Code tracking loop (CTL) is modified since existing model cannot accurately describe the characteristic that the code tracking error is determined by multipath and correlator spacing in multipath. The noncoherent DOT-product (DOT) power mode CTL is established as a comparison with different CTLs in multipath. Besides, the carrier tracking error model is modified based on the established code tracking error models, which indicates that the carrier tracking error is also determined by the multipath and the correlator spacing. The presented error models indicate that the correlation between the code tracking error and carrier tracking error can be decorrelated. Theoretical analysis shows that the noncoherent DOT power mode CTL is essentially coherent when the discriminator output of carrier tracking loop is zero. The influence of multipath and correlator spacing on CTL and carrier tracking loop is analyzed by simulations.
Target Detection is one of the most important tasks in Computer Vision,which has broad application prospects in many *** the past few years,great progress has been made in this field with the rapid development of deep...
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Target Detection is one of the most important tasks in Computer Vision,which has broad application prospects in many *** the past few years,great progress has been made in this field with the rapid development of deep learning ***,it's still a big challenge at complex scenarios such as dim environment for traditional single-modal visible *** address this problem,researchers introduce thermal images as additional modal in consideration of that thermal cameras are less susceptible to interference and explore how to fuse the two modalities information ***,the lack of large labeled and high-quality visible-thermal datasets hampers the usage of convolutional neural networks for ***,we propose to use image-to-image translation model combined with a differentiable data augmentation method to generate fake thermal images from labeled visible images and use multi-modal target detection model to prove the validity of the *** experiment results show that our method can provide us a large labeled dataset of synthetic visible-thermal image pairs with better generalization and the introduction of thermal modality can obtain a better performance than single modality.
Kalman filter has been extensively applied in vast areas. However, it is widely acknowledged that the performance of Kalman filter depends on the accuracy of priori information such as model structure, statistics info...
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Kalman filter has been extensively applied in vast areas. However, it is widely acknowledged that the performance of Kalman filter depends on the accuracy of priori information such as model structure, statistics information of process and observation noise. Obtaining the covariance matrix of process noise is difficult in some application *** such background, this paper presents a process noise estimation algorithm based on the noise observation sequence. By constructing a transform matrix and removing the state variables from the observation, the noise observation sequence can be established, through which the covariance matrix of process noise can be estimated. Comparing to conventional adaptive filter, this algorithm needs less calculation. Moreover,the noise estimation process is separated from Kalman filter thus ensures Kalman Filters independence and optimality. The simulation results show that the new algorithm can effectively estimate the process noise covariance, and remain uninfluenced by the initial condition.
In this paper,a novel localization approach for autonomous mobile robots is *** can accomplish the all-terrain localization function with the laser radar(LADAR) and the inertial measurement unit(IMU).First of all,for ...
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ISBN:
(纸本)9781509009107
In this paper,a novel localization approach for autonomous mobile robots is *** can accomplish the all-terrain localization function with the laser radar(LADAR) and the inertial measurement unit(IMU).First of all,for the multiple-input nonlinear localization system,a fuzzy filter is built up to estimate the position of the mobile ***,an efficient evaluation index is raised to determine whether the landmarks extracted from the adjacent data frame are the same,which can help the mobile robot to realize the self-correction *** the final,the experiments in the real world are implemented to show the effectiveness of the proposed approach.
As an important part of environmental perception, maps guarantee the accuracy of intelligent robots in navigation,localization and path planning. The traditional 3D maps mainly focus on the spatial structure of the ob...
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As an important part of environmental perception, maps guarantee the accuracy of intelligent robots in navigation,localization and path planning. The traditional 3D maps mainly focus on the spatial structure of the objects, which lacks the semantic information. A method is proposed in the paper, this method combines convolutional neural networks(CNNs) and Simultaneous Localization and Mapping(SLAM) to create global dense 3D semantic maps for indoor scenes. The deep neural network that includes convolution and deconvolution is designed to predict semantic category of every pixel. RGB-D camera is used to obtain scene information, accomplish localization and build 3D maps simultaneously. The semantic information is integrated into the 3D scene, we present an octree map method to replace traditional point clouds method, which can reduce the error from pose estimation and single frame labeling. By this method, the accuracy of semantic information is greatly improved.
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