[Submitted on 15 Sep 2026]
Title:Flexible-body Modeling, Kinematic Identification, and Assembly Accuracy of Overconstrained Spatial Linkages
View a PDF of the paper titled Flexible-body Modeling, Kinematic Identification, and Assembly Accuracy of Overconstrained Spatial Linkages, by Daniel Huczala and 8 other authors
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Abstract:Overconstrained rational single-loop linkages are efficient, compact, and low-cost custom mechanisms, yet their deployment in industrial settings is limited. In simulations, rigid body formulations fail due to redundant constraints. This study presents a flexible multibody modeling framework based on the floating frame of reference formulation, and delivers an overall accuracy analysis of assembled linkages prototypes. The approach is validated against 3D-printed PLA prototypes of a Bennett four-bar mechanism, including variants with intentional joint-axis misalignment, which theoretically, from the rigid body point of view, cannot be assembled. A supplementary contribution is delivered in the form of a kinematic parameter identification methodology suited for this type of mechanism with ill-conditioned Jacobian. The experimental and simulation results are compared and reveal that these overconstrained mechanisms exhibit a self-assembling tendency -- structural compliance drives the assembly toward the ideal geometric configuration, distributing constraint stress throughout the structure. Additional qualitative demonstrations using cardboard tubes and bamboo sticks as link building blocks confirm that functional mechanisms can be realized from low-cost, unconventional materials with limited manufacturing accuracy. The proposed modeling pipeline is fully algorithmic and enables design optimization in the future.
Subjects:
Robotics (cs.RO); Algebraic Geometry (math.AG)
Cite as: arXiv:2609.17627 [cs.RO]
(or arXiv:2609.17627v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2609.17627
arXiv-issued DOI via DataCite
Submission history
From: Martin Pfurner [view email] [v1] Tue, 15 Sep 2026 07:52:07 UTC (1,818 KB)
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