Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Angarano, Simone"'
Autor:
Navone, Alessandro, Martini, Mauro, Ambrosio, Marco, Ostuni, Andrea, Angarano, Simone, Chiaberge, Marcello
Segmentation-based autonomous navigation has recently been presented as an appealing approach to guiding robotic platforms through crop rows without requiring perfect GPS localization. Nevertheless, current techniques are restricted to situations whe
Externí odkaz:
http://arxiv.org/abs/2404.05338
Autor:
Navone, Alessandro, Romanelli, Fabrizio, Ambrosio, Marco, Martini, Mauro, Angarano, Simone, Chiaberge, Marcello
Achieving success in agricultural activities heavily relies on precise navigation in row crop fields. Recently, segmentation-based navigation has emerged as a reliable technique when GPS-based localization is unavailable or higher accuracy is needed
Externí odkaz:
http://arxiv.org/abs/2309.06863
Segmentation-based autonomous navigation has recently been proposed as a promising methodology to guide robotic platforms through crop rows without requiring precise GPS localization. However, existing methods are limited to scenarios where the centr
Externí odkaz:
http://arxiv.org/abs/2304.08988
In recent years, precision agriculture has gradually oriented farming closer to automation processes to support all the activities related to field management. Service robotics plays a predominant role in this evolution by deploying autonomous agents
Externí odkaz:
http://arxiv.org/abs/2304.01029
Modern robotic platforms need a reliable localization system to operate daily beside humans. Simple pose estimation algorithms based on filtered wheel and inertial odometry often fail in the presence of abrupt kinematic changes and wheel slips. Moreo
Externí odkaz:
http://arxiv.org/abs/2303.11725
Autor:
Marchionna, Luca, Pugliese, Giulio, Martini, Mauro, Angarano, Simone, Salvetti, Francesco, Chiaberge, Marcello
Publikováno v:
Sensors. 2023; 23(2):752
The game of Jenga represents an inspiring benchmark for developing innovative manipulation solutions for complex tasks. Indeed, it encouraged the study of novel robotics methods to successfully extract blocks from the tower. A Jenga game round undoub
Externí odkaz:
http://arxiv.org/abs/2211.07977
Autor:
Angarano, Simone, Salvetti, Francesco, Mazzia, Vittorio, Fantin, Giovanni, Gandini, Dario, Chiaberge, Marcello
Publikováno v:
SAI: Computing Conference 2022 Proceedings - Springer
Precise and accurate localization in outdoor and indoor environments is a challenging problem that currently constitutes a significant limitation for several practical applications. Ultra-wideband (UWB) localization technology represents a valuable l
Externí odkaz:
http://arxiv.org/abs/2209.03021
Single-Image Super-Resolution can support robotic tasks in environments where a reliable visual stream is required to monitor the mission, handle teleoperation or study relevant visual details. In this work, we propose an efficient Generative Adversa
Externí odkaz:
http://arxiv.org/abs/2209.03355
Domain Generalization (DG) studies the capability of a deep learning model to generalize to out-of-training distributions. In the last decade, literature has been massively filled with training methodologies that claim to obtain more abstract and rob
Externí odkaz:
http://arxiv.org/abs/2209.01121
Publikováno v:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022, pp. 477-484
Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities. Robotic navigation in vineyards and orchards offers competitive advantages in autonomously monitoring
Externí odkaz:
http://arxiv.org/abs/2206.14155