A geometry-and muscle-based control architecture for synthesising biological movement

JR Walter, M Günther, DFB Haeufle, S Schmitt - Biological cybernetics, 2021 - Springer
A key problem for biological motor control is to establish a link between an idea of a
movement and the generation of a set of muscle-stimulating signals that lead to the …

A forward-inverse dynamics modeling framework for human musculoskeletal multibody system

X Wang, J Guo, Q Tian - Acta Mechanica Sinica, 2022 - Springer
Multibody musculoskeletal modeling of human gait has been proved helpful in investigating
the pathology of musculoskeletal disorders. However, conventional inverse dynamics …

Learning with muscles: Benefits for data-efficiency and robustness in anthropomorphic tasks

I Wochner, P Schumacher, G Martius… - … on Robot Learning, 2023 - proceedings.mlr.press
Humans are able to outperform robots in terms of robustness, versatility, and learning of new
tasks in a wide variety of movements. We hypothesize that highly nonlinear muscle …

Effects of geometric individualisation of a human spine model on load sharing: neuro-musculoskeletal simulation reveals significant differences in ligament and …

L Meszaros-Beller, M Hammer, JM Riede… - … and Modeling in …, 2023 - Springer
In spine research, two possibilities to generate models exist: generic (population-based)
models representing the average human and subject-specific representations of individuals …

Human-exoskeleton coupling dynamics of a multi-mode therapeutic exoskeleton for upper limb rehabilitation training

Q Xie, Q Meng, Q Zeng, Y Fan, Y Dai, H Yu - IEEE Access, 2021 - ieeexplore.ieee.org
The purpose of this study is to establish the human-exoskeleton coupling (HEC) dynamic
model of the upper limb exoskeleton, overcome the difficulties of dynamic modeling caused …

Optimality principles in human point-to-manifold reaching accounting for muscle dynamics

I Wochner, D Driess, H Zimmermann… - Frontiers in …, 2020 - frontiersin.org
Human arm movements are highly stereotypical under a large variety of experimental
conditions. This is striking due to the high redundancy of the human musculoskeletal system …

Muscles reduce neuronal information load: quantification of control effort in biological vs. robotic pointing and walking

DFB Haeufle, I Wochner, D Holzmüller… - Frontiers in Robotics …, 2020 - frontiersin.org
It is hypothesized that the nonlinear muscle characteristic of biomechanical systems simplify
control in the sense that the information the nervous system has to process is reduced …

An integrated dynamic closed loop simulation platform for elbow flexion augmentation using an upper limb exosuit model

R Sambhav, S Jena, A Chatterjee, S Bhasin… - Frontiers in Robotics …, 2022 - frontiersin.org
Wearable robotic devices are designed to assist, enhance or restore human muscle
performance. Understanding how a wearable robotic device changes human biomechanics …

Neuromechanics-based neural feedback controller for planar arm reaching movements

Y Zhao, M Zhang, H Wu, X He, M Todoh - Bioengineering, 2023 - mdpi.com
Based on the principles of neuromechanics, human arm movements result from the dynamic
interaction between the nervous, muscular, and skeletal systems. To develop an effective …

The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation

A Bruel, I Abadía, T Collin, I Sakr… - PLOS Computational …, 2024 - journals.plos.org
Complex interactions between brain regions and the spinal cord (SC) govern body motion,
which is ultimately driven by muscle activation. Motor planning or learning are mainly …