Matteo Pantano — accepted AI-conference papers

2024

Deformable Objects Perception is Just a Few Clicks Away – Dense Annotations from Sparse Inputs

Alessio Caporali, Kevin Galassi, Matteo Pantano, Gianluca Palli

IROS 2024poster

Deformable Objects (DOs), e.g. clothes, garments, cables, wires, and ropes, are pervasive in our everyday environment. Despite their importance and widespread presence, many limitations exist when deploying robotic systems to interact with DOs. One source of challenges arises from their complex perc…

Cited by 0 Source ↗Scholar ↗

2023

A Weakly Supervised Semi-Automatic Image Labeling Approach for Deformable Linear Objects

Alessio Caporali, Matteo Pantano, Lucas Janisch, Daniel Regulin, Gianluca Palli, Dongheui Lee

RA-L 2023

The presence of Deformable Linear Objects (DLOs) such as wires, cables or ropes in our everyday life is massive. However, the applicability of robotic solutions to DLOs is still marginal due to the many challenges involved in their perception. In this letter, a methodology to generate datasets from

Cited by 22 Source ↗Scholar ↗