Simulating the behavior of operators through a digital human model (DHM) is an intuitive
way to reflect the human factors in the assembly process, which is important for ergonomics …

Lifting is a main task for manual material handling (MMH), and it is also associated with
lower back pain. There are many studies in the literature on predicting lifting strategies …

The optimization design of the open pit slope can ensure safety in production at the same
time bring considerable economic benefits, so it is necessary to evaluate the stability of the …

Objective: In this study, a novel hybrid predictive musculoskeletal model is proposed which
has both motion prediction and muscular dynamics assessment capabilities. Methods: First …

Wearable robots, sometimes known as exoskeletons, are incredible devices for improving
human strength, reducing fatigue, and restoring impaired mobility. The control of powered …

This paper presents a human–robot collaborative symmetric lifting motion prediction using
inverse dynamics optimization. The human and robot arm are modeled in Denavit …

In this study, the three-dimensional (3D) asymmetric maximum weight lifting is predicted
using an inverse-dynamics-based optimization method considering dynamic joint torque …

Most large manufacturing fields still rely on manual operations, requiring operators to enter
the Confined Space (CS) to conduct assembly and maintenance tasks. The ergonomics …

This article presents an optimization formulation and experimental validation of a dynamic-
joint-strength-based two-dimensional symmetric maximum weight-lifting simulation …

This study introduces a hybrid model that utilizes a model-based optimization method to
generate training data and an artificial neural network (ANN)-based learning method to offer …