3 citations · 4 across the 4 of their papers we have counts for
4 papers
A Data-Centric Approach For Dual-Arm Robotic Garment Flattening
Li Duan, Gerardo Aragon-Camarasa
Due to the high dimensionality of object states, a garment flattening pipeline requires recognising the configurations of garments for a robot to produce/select manipulation plans…
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening
Li Duan, Gerardo Argon-Camarasa
Robotic deformable-object manipulation is a challenge in the robotic industry because deformable objects have complicated and various object states. Predicting those object states…
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
Li Duan, Lewis Boyd, Gerardo Aragon-Camarasa
In this paper, we propose to predict the physics parameters of real fabrics and garments by learning their physics similarities between simulated fabrics via a Physics Similarity N…
GarNet: A Continuous Robot Vision Approach for Predicting Shapes and Visually Perceived Weights of Garments
Li Duan, Gerardo Aragon-Camarasa
We present a Garment Similarity Network (GarNet) that learns geometric and physical similarities between known garments by continuously observing a garment while a robot picks it u…