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dc.contributor.authorAli, Ahmed
dc.contributor.authorGabellieri, Chiara
dc.contributor.authorFranchi, Antonio
dc.date.accessioned2026-08-23T07:37:38Z
dc.date.available2026-08-23T07:37:38Z
dc.date.copyright2026/07/01
dc.date.issued2026
dc.identifier.issn1942-4302
dc.identifier.otherjmr-25-1529.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315370
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleLie Group Formulation of Recursive Dynamics Algorithms of Higher Order for Floating-Base Robots
dc.typeJournal Paper
dc.journal.volume18
dc.journal.issue7
dc.journal.titleJournal of Mechanisms and Robotics
dc.identifier.doi10.1115/1.4071985
dc.journal.fristpage730
dc.journal.lastpage736
dc.page7
dc.treeJournal of Mechanisms and Robotics:;2026:;volume( 018 ):;issue:007
dc.contenttypeFulltext


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