Research in the field of wearable triboelectric generators is increasing, and pioneering
research into real applications of this technology is a growing need in both scientific and …

Next-generation electronics will be driven by miniaturized components tuned for wearable
options, which will have the capability to provide humans and their environment with state-of …

We present a self-supervised method to learn dynamic 3D deformations of garments worn
by parametric human bodies. State-of-the-art data-driven approaches to model 3D garment …

Soft robots adapt passively to complex environments due to their inherent compliance,
allowing them to interact safely with fragile or irregular objects and traverse uneven terrain …

We present a general framework for the garment animation problem through unsupervised
deep learning inspired in physically based simulation. Existing trends in the literature …

This paper presents a learning‐based clothing animation method for highly efficient virtual
try‐on simulation. Given a garment, we preprocess a rich database of physically‐based …

Harvesting human-motion energy for power-integrated wearable electronics could be a
promising way to extend the battery-operation time of small low-power-consumption …

Soft slender structures are ubiquitous in natural and artificial systems, in active and passive
settings and across scales, from polymers and flagella, to snakes and space tethers. In this …

Cloth often has complicated nonlinear, anisotropic elastic behavior due to its woven pattern
and fiber properties. However, most current cloth simulation techniques simply use linear …

The typical elastic surface or curve simulation method takes a Lagrangian approach and
consists of three components: time integration, collision detection and collision response …