278 citations · 449 across the 14 of their papers we have counts for
8 papers · 1 filter
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…
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System
Luca Marchionna, Giulio Pugliese, Mauro Martini +3
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…
Position-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning
Mauro Martini, Simone Cerrato, Francesco Salvetti +2
Precision agriculture is rapidly attracting research to efficiently introduce automation and robotics solutions to support agricultural activities. Robotic navigation in vineyards…
Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
Francesco Salvetti, Simone Angarano, Mauro Martini +2
The development of precision agriculture has gradually introduced automation in the agricultural process to support and rationalize all the activities related to field management.…
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…