10 citations · 24 across the 12 of their papers we have counts for
11 papers · 1 filter
VinePT-Map: Pole-Trunk Semantic Mapping for Resilient Autonomous Robotics in Vineyards
Giorgio Audrito, Mauro Martini, Alessandro Navone +2
Reliable long-term deployment of autonomous robots in agricultural environments remains challenging due to perceptual aliasing, seasonal variability, and the dynamic nature of crop…
TEMPO-VINE: A Multi-Temporal Sensor Fusion Dataset for Localization and Mapping in Vineyards
Mauro Martini, Marco Ambrosio, Judith Vilella-Cantos +2
In recent years, precision agriculture has been introducing groundbreaking innovations in the field, with a strong focus on automation. However, research studies in robotics and au…
Autonomous Robotic Pruning in Orchards and Vineyards: a Review
Alessandro Navone, Mauro Martini, Marcello Chiaberge
Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost…
Adaptive Robot Localization with Ultra-wideband Novelty Detection
Umberto Albertin, Mauro Martini, Alessandro Navone +1
Ultra-wideband (UWB) technology has shown remarkable potential as a low-cost general solution for robot localization. However, limitations of the UWB signal for precise positioning…
Semi-Supervised Novelty Detection for Precise Ultra-Wideband Error Signal Prediction
Umberto Albertin, Alessandro Navone, Mauro Martini +1
Ultra-Wideband (UWB) technology is an emerging low-cost solution for localization in a generic environment. However, UWB signal can be affected by signal reflections and non-line-o…
Non-linear Model Predictive Control for Multi-task GPS-free Autonomous Navigation in Vineyards
Matteo Sperti, Marco Ambrosio, Mauro Martini +3
Autonomous navigation is the foundation of agricultural robots. This paper focuses on developing an advanced autonomous navigation system for a rover operating within row-based cro…
GPS-free Autonomous Navigation in Cluttered Tree Rows with Deep Semantic Segmentation
Alessandro Navone, Mauro Martini, Marco Ambrosio +3
Segmentation-based autonomous navigation has recently been presented as an appealing approach to guiding robotic platforms through crop rows without requiring perfect GPS localizat…
Lavender Autonomous Navigation with Semantic Segmentation at the Edge
Alessandro Navone, Fabrizio Romanelli, Marco Ambrosio +3
Achieving success in agricultural activities heavily relies on precise navigation in row crop fields. Recently, segmentation-based navigation has emerged as a reliable technique wh…
Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation
Alessandro Navone, Mauro Martini, Andrea Ostuni +2
Segmentation-based autonomous navigation has recently been proposed as a promising methodology to guide robotic platforms through crop rows without requiring precise GPS localizati…
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
Alessandro Navone, Mauro Martini, Simone Angarano +1
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 f…
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops
Simone Cerrato, Vittorio Mazzia, Francesco Salvetti +4
Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practic…