activity
20222024
most citedPosition-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning

46 citations · 47 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2024

Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition

Ariel Priarone, Umberto Albertin, Carlo Cena +2

Novelty detection is a critical task in various engineering fields. Numerous approaches to novelty detection rely on supervised or semi-supervised learning, which requires labelled…

cs.RO2024

Adaptive Social Force Window Planner with Reinforcement Learning

Mauro Martini, Noé Pérez-Higueras, Andrea Ostuni +3

Human-aware navigation is a complex task for mobile robots, requiring an autonomous navigation system capable of achieving efficient path planning together with socially compliant…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO20231 cited

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…