Perceiving and handling deformable objects is an integral part of everyday life for humans.
Automating tasks such as food handling, garment sorting, or assistive dressing requires …

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

Rearranging and manipulating deformable objects such as cables, fabrics, and bags is a
long-standing challenge in robotic manipulation. The complex dynamics and high …

This article is about deep learning (DL) and deep reinforcement learning (DRL) works
applied to robotics. Both tools have been shown to be successful in delivering data-driven …

Assistive robots have the potential to support people with disabilities in a variety of activities
of daily living, such as dressing. People who have completely lost their upper limb …

Path and manipulation planning has been gaining popularity within the robotics community
all the time due to its potential applications in many economically important applications. In …

Robotic fabric manipulation has applications in home robotics, textiles, senior care and
surgery. Existing fabric manipulation techniques, however, are designed for specific tasks …

We study the problem of learning graph dynamics of deformable objects that generalizes to
unknown physical properties. Our key insight is to leverage a latent representation of elastic …

Manipulating volumetric deformable objects in the real world, like plush toys and pizza
dough, brings substantial challenges due to infinite shape variations, non-rigid motions, and …

Deformable Object Manipulation (DOM) is of significant importance to both daily and
industrial applications. Recent successes in differentiable physics simulators allow learning …