Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Differentiable Simulation of Inertial Musculotendons   We propose a simple and practical approach for incorporating the effects of
muscle inertia, which has been ignored by previous musculoskeletal simulators
in both graphics and biomechanics. In our approach, we express the motion of
the musculotendons in terms of the motion of the skeletal joints using a chain
of Jacobians, so that at the top level, only the reduced degrees of freedom of
the skeleton are used to completely drive both bones and musculotendons. Our
approach can handle all commonly used musculotendon path types, including those
with multiple path points and wrapping surfaces. For muscle paths involving
wrapping surfaces, we use neural networks to model the Jacobians, trained using
existing wrapping surface libraries, which allows us to effectively handle the
discontinuities that occur when musculotendon paths collide with wrapping
surfaces. We demonstrate support for higher-order time integrators, complex
joints, inverse dynamics, Hill-type muscle models, and differentiability. We
also show that in the limit, as the muscle mass is reduced to zero, our
approach gracefully degrades to existing simulators in graphics and
biomechanics without support for muscle inertia.

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The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
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The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-th
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The categories of this paper are: econ