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20212026
most citedPosition-Agnostic Autonomous Navigation in Vineyards with Deep Reinforcement Learning

46 citations · 145 across the 32 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

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.LG2024★ 7 cited

Physics-Informed Real NVP for Satellite Power System Fault Detection

Carlo Cena, Umberto Albertin, Mauro Martini +2

The unique challenges posed by the space environment, characterized by extreme conditions and limited accessibility, raise the need for robust and reliable techniques to identify a…

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…