Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …

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

Abstract Deep Reinforcement Learning has recently seen progress for continuous control
tasks, driven by yearly challenges such as the NeurIPS Competition Track. This work …

Computational human body models (HBMs) are important tools for predicting human
biomechanical responses under automotive crash environments. In many scenarios, the …

The simulation of realistic human motion is a critical aspect in several fields. Ranging from
character animations in video games to medical research, human motion simulation is …