Modeling and simulation of complex dynamic musculoskeletal architectures
ORAL
Abstract
Natural creatures, from fish and cephalopods to snakes and birds, combine neural control, sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain environments. In order to facilitate the understanding of the biophysical mechanisms at play and to streamline their potential use in engineering applications, we present here a versatile and robust numerical approach to the simulation of musculoskeletal architectures. It relies on the assembly of heterogenous, active and passive Cosserat rods into dynamic structures that model bones, tendons, ligaments, fibers and muscle connectivity. We demonstrate its utility in a range of problems involving biological and soft robotic scenarios across scales and environments: from the engineering of millimeter-long bio-hybrid robots to the synthesis and detailed reconstruction of complex musculoskeletal systems. The versatility of our methodology offers a powerful framework to aid forward and inverse bioengineering designs as well as fundamental discovery in the functioning of living organisms.
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Presenters
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Xiaotian Zhang
University of Illinois at Urbana-Champaign
Authors
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Xiaotian Zhang
University of Illinois at Urbana-Champaign
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Fan Kiat Chan
University of Illinois at Urbana-Champaign
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Tejaswin Parthasarathy
University of Illinois at Urbana-Champaign
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Mattia Gazzola
University of Illinois at Urbana-Champaign