Challenges in interaction modelling with digital human models–A systematic literature review of interaction modelling approaches
A Wolf, J Miehling, S Wartzack - Ergonomics, 2020 - Taylor & Francis
Digital human models (DHM) allow for a proactive ergonomic assessment of products by
applying different models describing the user-product interaction. In engineering design …
applying different models describing the user-product interaction. In engineering design …
Human-oriented design of collaborative robots
Collaborative robotics is a possible solution to the problem of musculoskeletal disorders
(MSDs) in industry, but efficiently designing such robots remains an issue because …
(MSDs) in industry, but efficiently designing such robots remains an issue because …
Optimization-based biomechanical lifting models for manual material handling: A comprehensive review
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 …
lower back pain. There are many studies in the literature on predicting lifting strategies …
Assembly line balancing problem with ergonomics: a new fatigue and recovery model
Assembly lines are production lines used to manufacture products, ranging from mass-
production products to mass-customisation with low unit products. Assembly lines consume …
production products to mass-customisation with low unit products. Assembly lines consume …
Progressive preference articulation for decision making in multi-objective optimisation problems
This paper proposes a novel algorithm for addressing multi-objective optimisation problems,
by employing a progressive preference articulation approach to decision making. This …
by employing a progressive preference articulation approach to decision making. This …
Predicting real-world ergonomic measurements by simulation in a virtual environment
Virtual reality techniques have been increasingly used for ergonomic applications. However,
it is always important to know whether the results obtained in a virtual environment (VE) are …
it is always important to know whether the results obtained in a virtual environment (VE) are …
Hybrid predictive model for lifting by integrating skeletal motion prediction with an OpenSim musculoskeletal model
Objective: In this study, a novel hybrid predictive musculoskeletal model is proposed which
has both motion prediction and muscular dynamics assessment capabilities. Methods: First …
has both motion prediction and muscular dynamics assessment capabilities. Methods: First …
A probabilistic model for cobot decision making to mitigate human fatigue in repetitive co-manipulation tasks
A Yaacoub, V Thomas, F Colas… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Work-related musculoskeletal disorders (WMSDs) are very common. Repetitive motion,
which is often present in industrial work, is one of the main physical causes of WMSDs. It …
which is often present in industrial work, is one of the main physical causes of WMSDs. It …
Multi-objective optimization for two-dimensional maximum weight lifting prediction considering dynamic strength
Manual material handling is common in daily life and is the main cause of lower back pain.
Therefore, it is critical to establish a lifting limit for workers. However, it is difficult to obtain …
Therefore, it is critical to establish a lifting limit for workers. However, it is difficult to obtain …
Lifting posture prediction with generative models for improving occupational safety
Lifting tasks have been identified to be highly associated with work-related low back pain.
Posture prediction can be used for simulating workers' posture of lifting tasks and thus …
Posture prediction can be used for simulating workers' posture of lifting tasks and thus …