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 …

Autonomous robots have the potential to serve as versatile caregivers that improve quality of
life for millions of people worldwide. Yet, conducting research in this area presents …

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 …

Contribution: Prior studies have shown that project-based learning (PBL) is an effective
approach on engineering education. This study further identifies the impact of a design …

Research in manipulation of deformable objects is typically conducted on a limited range of
scenarios, because handling each scenario on hardware takes significant effort. Realistic …

Robot-assisted dressing could benefit the lives of many people such as older adults and
individuals with disabilities. Despite such potential, robot-assisted dressing remains a …

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 …

The physical design of a robot suggests expectations of that robot's functionality for human
users and collaborators. When those expectations align with the robot's true capabilities …

We investigated the application of haptic feedback control and deep reinforcement learning
(DRL) to robot-assisted dressing. Our method uses DRL to simultaneously train human and …