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dc.contributor.authorHaug, Edward J.;Peidro, Adrian
dc.date.accessioned2023-04-06T13:02:37Z
dc.date.available2023-04-06T13:02:37Z
dc.date.copyright9/19/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn15551415
dc.identifier.othercnd_017_11_111008.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288972
dc.description.abstractA recently published treatment of nonredundant manipulator kinematics and dynamics on differentiable manifolds is extended to kinematically redundant manipulators. Analysis at the configuration level shows that forward kinematics and dynamics of redundant manipulators are identical to that for nonredundant manipulators. The manifoldbased inverse kinematics formulation that is presented for redundant manipulators, in contrast, yields parameterizations of setvalued inverse kinematic mappings at the configuration level, where sharper results are obtained than those presented in the literature using velocity formulations. Explicit expressions are derived for setvalued inverse kinematic mappings for both serial and nonserial (called compound) kinematically redundant manipulators, as functions of vectors of arbitrary parameters. Parameterizations are presented for both manipulator regular configuration manifolds and selfmotion manifolds, the latter comprised of sets of inputs that map into the same output. It is shown that kinematically redundant configuration manifolds and selfmotion differentiable manifolds are distinctly different and play complementary roles in redundant manipulator kinematics. Computational methods are presented for evaluation of setvalued inverse kinematic mappings, without problemdependent ad hoc analytical manipulations. Redundant serial and compound manipulator examples are presented to illustrate computation of setvalued inverse kinematic mappings and the use of selfmotion manifold mappings in obstacle avoidance applications. Differentiation of configuration level inverse mappings yields inverse velocity and acceleration mappings as functions of timedependent arbitrary parameters that play a central role in manipulator dynamics and control.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleRedundant Manipulator Kinematics and Dynamics on Differentiable Manifolds
dc.typeJournal Paper
dc.journal.volume17
dc.journal.issue11
dc.journal.titleJournal of Computational and Nonlinear Dynamics
dc.identifier.doi10.1115/1.4055313
dc.journal.fristpage111008
dc.journal.lastpage11100815
dc.page15
dc.treeJournal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 011
dc.contenttypeFulltext


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