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contributor authorAli, Ahmed
contributor authorGabellieri, Chiara
contributor authorFranchi, Antonio
date accessioned2026-08-23T07:37:38Z
date available2026-08-23T07:37:38Z
date copyright2026/07/01
date issued2026
identifier issn1942-4302
identifier otherjmr-25-1529.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315370
description abstractAbstract. In this article, we describe procedures for computing higher-order time derivatives of the Lie group Newton–Euler, articulated body inertia, and hybrid dynamics algorithms for floating-base trees, where the base configuration evolves on SE(3) and the attached mechanism is an open kinematic tree with configuration on the (n1+n2)-dimensional manifold Tn1×Rn2, using spatial representation of twists. After presenting the algorithms, we collect the resulting recursions into closed-form equations of motion, identifying an admissible Coriolis matrix satisfying the passivity property, and showing that the articulated inertia tensor remains unchanged across all time derivatives. We then apply the developed methods to a 12-degrees-of-freedom (DoF) aerial manipulator to derive analytical expressions for its geometric forward and inverse dynamics along with their first time derivatives, whereas the numerical simulations successfully evaluate these dynamics up to fifth order. Finally, to demonstrate their practical utility, we benchmark the proposed extensions and show that, in the considered tests, their computational cost scales quadratically with the derivative order, whereas the automatic-differentiation baseline exhibits exponential scaling.
publisherThe American Society of Mechanical Engineers (ASME)
titleLie Group Formulation of Recursive Dynamics Algorithms of Higher Order for Floating-Base Robots
typeJournal Paper
journal volume18
journal issue7
journal titleJournal of Mechanisms and Robotics
identifier doi10.1115/1.4071985
journal fristpage730
journal lastpage736
page7
treeJournal of Mechanisms and Robotics:;2026:;volume( 018 ):;issue:007
contenttypeFulltext


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