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Journal ArticleDOI

A survey of current inertia parameter identification methods

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TLDR
A survey of currently available inertia parameter identification methods can be found in this article, where a classification of the identification methods is presented based on the general equations of motion of a rigid body and their simplifications with respect to several linearization steps.
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This article is published in Mechanical Systems and Signal Processing.The article was published on 2001-01-01. It has received 91 citations till now. The article focuses on the topics: Inertia & Moment of inertia.

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Citations
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Proceedings ArticleDOI

Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces

TL;DR: A novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single RGB-D camera, and shows that force sensing from vision (FSV) is indeed feasible.
Journal ArticleDOI

Hand-Object Contact Force Estimation from Markerless Visual Tracking

TL;DR: This work establishes that interaction forces can be estimated in a cost-effective, reliable, non-intrusive way using vision, and learns a mapping between high-level kinematic features based on the equations of motion and the underlying manipulation forces using recurrent neural networks (RNN).
Journal ArticleDOI

A method for measuring the inertia properties of rigid bodies

TL;DR: In this paper, a method for the measurement of the inertia properties of rigid bodies is presented, which is based on the analysis of the free motion of a multi-cable pendulum to which the body under consideration is connected.
Journal ArticleDOI

Identification of rigid body properties from vibration measurements

TL;DR: In this article, a parametric modal identification method is investigated, for the simultaneous estimation of all the rigid body properties, using information from measured Frequency Response Functions encompassing the low-frequency modes.
Journal ArticleDOI

Method and equipment for inertia parameter identification

TL;DR: In this paper, an equipment and a procedure for the determination of large object inertia parameter are described, based on the rigid-body complete motion equation, and a least-square optimization is used to identify the 10 inertia parameters starting from the experimental data acquired during both, static and dynamic tests.
References
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Book

Modal Testing: Theory and Practice

TL;DR: A survey of the technology of modal testing, a new method for describing the vibration properties of a structure by constructing mathematical models based on test data rather than using conventional theoretical analysis.
Book

Theoretical and Experimental Modal Analysis

TL;DR: An elongated fishing lure includes an elongated body, a head at one end and a tail at the second end, with a series of integral outwardly projecting ribs at closely spaced points along the body to perform multiple significant functions.
Journal ArticleDOI

Identification of rigid body inertia properties from experimental data

TL;DR: In this paper, a direct procedure is developed to estimate the mass properties from the massline characteristic of experimental FRFs, where the non-linear problem is divided into a series of simpler linear problems and solved in subsequent steps.
Journal ArticleDOI

Determination Of Rigid Body Characteristics From Time Domain Modal Test Data

TL;DR: In this paper, a method is presented to identify the characteristics of a rigid body and its supports, such as the center of gravity, the moment of inertia, and the stiffness and damping matrices, based on the measured time domain vibration data.
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