1 code implementation • 2 Nov 2023 • Gabriele M. Caddeo, Andrea Maracani, Paolo D. Alfano, Nicola A. Piga, Lorenzo Rosasco, Lorenzo Natale
Our evaluation is conducted on a dataset of tactile images obtained from a set of ten 3D printed YCB objects.
1 code implementation • 31 Jan 2023 • Gabriele M. Caddeo, Nicola A. Piga, Fabrizio Bottarel, Lorenzo Natale
The results demonstrate that our approach estimates object poses that are compatible with actual object-sensor contacts in $87. 5\%$ of cases while reaching an average positional error in the order of $2$ centimeters.
2 code implementations • 6 Nov 2021 • Nicola A. Piga, Yuriy Onyshchuk, Giulia Pasquale, Ugo Pattacini, Lorenzo Natale
In this work, we introduce ROFT, a Kalman filtering approach for 6D object pose and velocity tracking from a stream of RGB-D images.