Motor control is an area of natural science exploring how the nervous system interacts with
other body parts and the environment to produce purposeful, coordinated actions. A central …

A review of human walking modeling and simulation is presented. This review focuses on
physics-based human walking simulations in the robotics and biomechanics literature. The …

In data-driven inverse optimization an observer aims to learn the preferences of an agent
who solves a parametric optimization problem depending on an exogenous signal. Thus …

Predictive simulation based on dynamic optimization using musculoskeletal models is a
powerful approach for studying human gait. Predictive musculoskeletal simulation may be …

Physics of Biological Action and Perception helps researchers interested in exploring
biological motor control from a physics or alternative viewpoint perspective. The book …

Predictive dynamics is a novel approach for simulating human motion. It avoids direct
integration of differential-algebraic equations in order to create the resulting simulations for …

The purpose of this study is to investigate the various fluid flow regimes generated by a
pinion running partly immersed in an oil bath and the corresponding churning power losses …

This paper presents a multiobjective optimization (MOO) approach to predicting dynamic
lifting for a three-dimensional, highly redundant digital human model with 55 degrees of …

An optimization-based formulation and solution method are presented to predict asymmetric
human gait for a large-scale skeletal model. Predictive dynamics approach is used in which …

Many patients suffering from oral and maxillofacial tumors cannot open their mouths wide
after mandibular reconstruction surgery. Musculoskeletal multibody modeling could be a …