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dc.contributor.authorTrejoRamos, ChristianAlejandro;OlguínDíaz, Ernesto;ParraVega, Vicente
dc.date.accessioned2023-04-06T13:04:17Z
dc.date.available2023-04-06T13:04:17Z
dc.date.copyright10/17/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn220434
dc.identifier.otherds_144_12_121004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289021
dc.description.abstractCurrent Lagrangian models for soft cylindrical robots (SCRs) have been developed under rigid body considerations, and therefore, body deformation properties have not been fully incorporated into these models. Thus, key deformation properties such as density variation, variable CoM, and timevarying inertia tensor are missing. In addition, the highly nonlinear dynamical couplings arising from deformation are also missing in deformable bodybased formulations. In this paper, Lagrangian and quasiLagrangian models of a noninertial soft robot are developed under the essential modeling assumption that distance among particles varies. Such nonrigid body assumption introduces deformation properties that lead to a clear description of freemotion deformation dynamics subject to reaction forces. Altogether, our proposal gives rise to sound qualitative mathematical models that incorporate deformation phenomena, with wellposed structural properties. To exemplify quantitatively the usefulness of the proposed models, two simulation scenarios are presented and discussed. In the first one, the soft robot is fixed to the ground, while the second scenario, a soft robot is attached to a threedimensional freeflying rigid frame.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleLagrangian and QuasiLagrangian Models for Noninertial Pneumatic Soft Cylindrical Robots
dc.typeJournal Paper
dc.journal.volume144
dc.journal.issue12
dc.journal.titleJournal of Dynamic Systems, Measurement, and Control
dc.identifier.doi10.1115/1.4055692
dc.journal.fristpage121004
dc.journal.lastpage12100411
dc.page11
dc.treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 012
dc.contenttypeFulltext


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