activity
20192022
collaborators

5 papers

cs.MM2022

Audio-Visual Object Classification for Human-Robot Collaboration

A. Xompero, Y. L. Pang, T. Patten +3

Human-robot collaboration requires the contactless estimation of the physical properties of containers manipulated by a person, for example while pouring content in a cup or moving…

cs.RO2021

Towards safe human-to-robot handovers of unknown containers

Yik Lung Pang, Alessio Xompero, Changjae Oh +1

Safe human-to-robot handovers of unknown objects require accurate estimation of hand poses and object properties, such as shape, trajectory, and weight. Accurately estimating these…

cs.SD2021

Audio classification of the content of food containers and drinking glasses

Santiago Donaher, Alessio Xompero, Andrea Cavallaro

Food containers, drinking glasses and cups handled by a person generate sounds that vary with the type and amount of their content. In this paper, we propose a new model for sound-…

cs.CV2021

Improving filling level classification with adversarial training

Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla +2

We investigate the problem of classifying - from a single image - the level of content in a cup or a drinking glass. This problem is made challenging by several ambiguities caused…

cs.CV2019

Multi-view shape estimation of transparent containers

Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas +2

The 3D localisation of an object and the estimation of its properties, such as shape and dimensions, are challenging under varying degrees of transparency and lighting conditions.…