Human gait analysis is a complex problem in biomechanics because of highly nonlinear
human motion equations, muscle dynamics, and foot-ground contact. Despite a large …

Over the past decade, there has been a rapid increase in applications of multibody system
dynamics to the predictive simulation of human movement. Using predictive “what-if” human …

Despite our environment often being uncertain, we generally manage to generate stable
motor behaviors. While reactive control plays a major role in this achievement, proactive …

Exoskeleton robots, which range from fully passive to fully active-assisted movements, have
become an essential instrument for assisting industrial employees and stroke rehabilitation …

Humans consider the parameters linked to movement goal during reaching to adjust their
control strategy online. Indeed, rapid changes in target structure or disturbances interfering …

The ultimate goal of most neuromusculoskeletal modeling research is to improve the
treatment of movement impairments. However, even though neuromusculoskeletal models …

The closed-loop human–robot system requires develo** an effective robotic controller that
considers models of both the human and the robot, as well as human adaptation to the …

Exoskeletons, wearable robotic devices designed to enhance human strength and
endurance, find applications in various fields such as healthcare and industry; however …

A musculoskeletal (MSK) model is a valuable tool for assessing complex biomechanical
problems, estimating joint torques during motion, optimizing motion in sports, and designing …

InverseMuscleNET, a machine learning model, is proposed as an alternative to static
optimization for resolving the redundancy issue in inverse muscle models. A recurrent …