Results 11 to 20 of about 7,374 (201)
A robust unscented transformation for uncertain moments [PDF]
Journal of the Franklin Institute, 2019 This paper proposes a robust version of the unscented transform (UT) for one-dimensional random variables. It is assumed that the moments are not exactly known, but are known to lie in intervals. In this scenario, the moment matching equations are reformulated as a system of polynomial equations and inequalities, and it is proposed to use the Chebychev
Hugo T. M. Kussaba +2 more
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A Generalized Unscented Transformation for Probability Distributions
ArXiv, 2021 15 pages, 4 ...
Donald Ebeigbe +6 more
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Research on manipulation algorithm of HRDA based on visual UTFastSLAM [PDF]
ITM Web of Conferences, 2022 Aiming at the SLAM problem faced by humanoid robot path planning in unknown environment, firstly, based on the analysis of feature region location and information description in the region, a feature extraction algorithm based on LPP has been researched ...
Li Huazhong
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Mathematics, 2022 In recent years, the occurrence of cascading failures and blackouts arising from cyber intrusions in the underlying configuration of power systems has increasingly highlighted the need for effective power management that is able to handle this issue ...
Abdulaziz Almalaq +4 more
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The scaled unscented transformation [PDF]
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002 This paper describes a generalisation of the unscented transformation (UT) which allows sigma points to be scaled to an arbitrary dimension. The UT is a method for predicting means and covariances in nonlinear systems. A set of samples are deterministically chosen which match the mean and covariance of a (not necessarily Gaussian-distributed ...
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Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise
IEEE Access, 2018 A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin +4 more
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Unscented Bayesian Optimization for Safe Robot Grasping [PDF]
, 2016 We address the robot grasp optimization problem of unknown objects considering uncertainty in the input space. Grasping unknown objects can be achieved by using a trial and error exploration strategy.
Bernardino, Alexandre +3 more
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Feature Extraction and Classification of Lower Limb Motion Based on sEMG Signals
IEEE Access, 2020 Surface electromyography (sEMG) signals can reflect the body motion information and are widely used in military, medical rehabilitation, industrial production.
Xin Shi +4 more
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Moment Estimation Using a Marginalized Transform [PDF]
, 2012 We present a method for estimating mean and covariance of a transformed Gaussian random variable. The method is based on evaluations of the transforming function and resembles the unscented transform and Gauss-Hermite integration in that respect.
Sandblom, Fredrik, Svensson, Lennart
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Indoor Localization of a Mobile Robot based on Unscented Kalman Filter Using Sonar Sensors [PDF]
한국정밀공학회지, 2021 This paper proposes a UKF-Based indoor localization method that evaluates the optimal position of a robot by fusing the position information from encoders and the distance information of the obstacle measured by ultrasonic sensors.
Soo Hee Seo, Jong Hwan Lim
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