Human-in-the-loop optimization for vehicle body lightweight design

J Hao, R Deng, L Jia, Z Li, R Alizadeh… - Advanced Engineering …, 2024 - Elsevier
Automatic optimization algorithms are crucial for vehicle body lightweight design; however,
existing methods remain inefficient leading to excessive iterations that increase both time …

Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance

N Ratnakumar, K Akbaş, R Jones, Z You… - Multibody System …, 2024 - Springer
Maintaining the capacity for sit-to-stand transitions is paramount for preserving functional
independence and overall mobility in older adults and individuals with musculoskeletal …

Springs vs. motors: Ideal assistance in the lower limbs during walking at different speeds

I Luis, M Afschrift… - PLOS Computational …, 2024 - journals.plos.org
Recent years have witnessed breakthroughs in assistive exoskeletons; both passive and
active devices have reduced metabolic costs near preferred walking speed by assisting …

Validity, reliability, and bias between instrumented pedals and loadsol insoles during stationary cycling

W Menke, K Estler, C Springer, S Zhang - Plos one, 2024 - journals.plos.org
The purpose of this study was to evaluate the validity and reliability of the loadsol in
measuring pedal reaction force (PRF) during stationary cycling as well as lower limb …

[HTML][HTML] A Novel Personalized Strategy for Hip Joint Flexion Assistance Based on Human Physiological State

B Wu, C Chen, S Wang, H Chen, Z Wang, Y Liu, T He… - Biosensors, 2024 - mdpi.com
Soft exosuits have emerged as potent assistive tools for walking support and rehabilitation
training. However, most existing soft exosuit systems rely on preset assistance modes, which …

Predictive simulation framework for replicating energy reduction trends and joint kinematic adaptations in walking with powered ankle exoskeletons

K Ganesan, A Gupta - Multibody System Dynamics, 2024 - Springer
Exoskeletons are useful for performance augmentation and rehabilitation, yet the design
and control optimization of these devices are challenging, iterative, and laborious. Predictive …