We present a comprehensive neural network to model the deformation of human soft tissues
including muscle, tendon, fat and skin. Our approach provides kinematic and active …

Soft actuators that execute diverse motions have recently been proposed to improve the
usability of soft robots. Nature-inspired actuators, in particular, are emerging as a means of …

Assessment of mandibular dynamics is essential for examining stomatognathic functions,
and many kinds of stomatognathic diseases, such as temporomandibular joint (TMJ) …

In this paper, we present a simulation and control framework for generating biomechanically
plausible motion for muscle-actuated characters. We incorporate a fatigue dynamics model …

Muscle-actuated control is a research topic that spans multiple domains, including
biomechanics, neuroscience, reinforcement learning, robotics, and graphics. This type of …

The Extended Position Based Dynamics (XPBD) approach of Macklin et al.[2016] addresses
the issues with iteration-dependent behavior in the original Position Based Dynamics …

We propose and explore a new method for the implicit time integration of elastica. Key to our
approach is the use of a mixed variational principle. In turn, its finite element discretization …

Precision modeling of the hand internal musculoskeletal anatomy has been largely limited to
individual poses, and has not been connected into continuous volumetric motion of the hand …

Abstract We introduce Temporal Residual Jacobians as a novel representation to enable
data-driven motion transfer. Our approach does not assume access to any rigging or …

We present a new approach for modelling musculoskeletal anatomy. Unlike previous
methods, we do not model individual muscle shapes as geometric primitives (polygonal …