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 …

Simulate realistic human motion in a virtual world with an optimization-based approach to
motion prediction. With this approach, motion is governed by human performance measures …

In this study, a novel lifting motion simulation model was developed based on a multi-
objective optimization (MOO) approach. Two performance criteria, minimum physical effort …

An optimization-based multibody dynamics modeling method is proposed for two-
dimensional (2D) team lifting prediction. The box itself is modeled as a floating-base rigid …

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

This paper describes an efficient optimization method for determining the subject-specific
strength percentile and predicting the maximum weight lifting motion by considering …

A new methodology, called hybrid predictive dynamics (HPD), is introduced in this work to
simulate human motion. HPD is defined as an optimization-based motion prediction …

New motor rehabilitation therapies include virtual reality (VR) and robotic technologies. In
limb rehabilitation, limb posture is required to (1) provide a limb realistic representation in …

Objective To explore whether the optimal objective function weightings change when using
a digital human model (DHM) to predict origin and destination lifting postures under …

In this study, a 13 degrees of freedom (DOFs) three-dimensional (3D) human arm model and
a 10 DOFs 3D robotic arm model are used to validate the grasping force for human-robot …