The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …

We present a virtual reality (VR) framework to automate the data collection process in cloth
folding tasks. The framework uses skeleton representations to help the user define the …

In order to achieve the effective computer recognition of the She ethnic clothing from
different regions through the extraction of color features, this paper proposes a She ethnic …

The field of robotics faces inherent challenges in manipulating deformable objects,
particularly in understanding and standardising fabric properties like elasticity, stiffness, and …

Robotic learning for deformable object manipulation—such as textiles—is often done in
simulation due to the current limitation of perception methods to understand cloth's …

Clothes manipulation is a critical skill for household robots. Recent advancements have
been made in task-specific clothes manipulation, such as folding, flattening, and hanging …

Virtual try‐on technology helps consumers to examine how specific things look on them
before purchasing. This makes the buying experience easier, excitement‐filled, and mess …

This thesis introduces an effective robotic garment flattening pipeline and robotic perception
paradigms for predicting garments' geometric (shape) and physics properties. Robotic …