140,138 research outputs found
Data-Driven Approach to Simulating Realistic Human Joint Constraints
Modeling realistic human joint limits is important for applications involving
physical human-robot interaction. However, setting appropriate human joint
limits is challenging because it is pose-dependent: the range of joint motion
varies depending on the positions of other bones. The paper introduces a new
technique to accurately simulate human joint limits in physics simulation. We
propose to learn an implicit equation to represent the boundary of valid human
joint configurations from real human data. The function in the implicit
equation is represented by a fully connected neural network whose gradients can
be efficiently computed via back-propagation. Using gradients, we can
efficiently enforce realistic human joint limits through constraint forces in a
physics engine or as constraints in an optimization problem.Comment: To appear at ICRA 2018; 6 pages, 9 figures; for associated video, see
https://youtu.be/wzkoE7wCbu
Hyperon Axial Charges in Two-Flavor Chiral Perturbation Theory
We use two-flavor heavy baryon chiral perturbation theory to investigate the
isovector axial charges of the spin one-half hyperons. Expressions for these
hyperon axial charges are derived at next-to-leading order in the chiral
expansion. We utilize phenomenological and lattice QCD inputs to assess the
convergence of the two-flavor theory, which appears to be best for cascades.Comment: 4 pages, 1 figures, published versio
Chip-scale cavity optomechanics in lithium niobate
We develop a chip-scale cavity optomechanical system in single-crystal
lithium niobate that exhibits high optical quality factors and a large
frequency-quality product as high as Hz at room temperature
and atmosphere. The excellent optical and mechanical properties together with
the strong optomechanical coupling allow us to efficiently excite the coherent
regenerative optomechanical oscillation operating at 375.8 MHz with a threshold
power of 174 in the air. The demonstrated lithium niobate
optomechanical device enables great potential for achieving
electro-optic-mechanical hybrid systems for broad applications in sensing,
metrology, and quantum physics
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