Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

Exoskeletons can augment the performance of unimpaired users and restore movement in
individuals with gait impairments. Knowledge of how users interact with wearable devices …

Personalized exoskeleton assistance provides users with the largest improvements in
walking speed and energy economy,–but requires lengthy tests under unnatural laboratory …

Background Many lower-limb exoskeletons have been developed to assist gait, exhibiting a
large range of control methods. The goal of this paper is to review and classify these control …

Variability in human walking depends on individual physiology, environment, and walking
task. Consequently, in the field of wearable robotics, there is a clear need for customizing …

Textiles have emerged as a promising class of materials for developing wearable robots that
move and feel like everyday clothing. Textiles represent a favorable material platform for …

Since the early 2000s, researchers have been trying to develop lower-limb exoskeletons
that augment human mobility by reducing the metabolic cost of walking and running versus …

Wearable robots are undergoing a disruptive transition, from the rigid machines that
populated the science-fiction world in the early 1980s to lightweight robotic apparel, hardly …

Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb
amputations. While the design of lower-limb prostheses is important, this paper focuses on …

Wearable robotic devices have been shown to substantially reduce the energy expenditure
of human walking. However, response variance between participants for fixed control …