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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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6 papers · 1 filter

cs.RO2025

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…

cs.RO2025

Metrics vs Surveys: An Analysis for Human-Aligned Benchmarking in Social Robot Navigation

Stefano Trepella, Mauro Martini, Noé Pérez-Higueras +4

Social, also called human-aware, navigation is a key challenge for integrating mobile robots into human environments. The evaluation of such systems is complex, as factors such as…

cs.LG2025

Learning Robust Satellite Attitude Dynamics with Physics-Informed Normalising Flow

Carlo Cena, Mauro Martini, Marcello Chiaberge

Attitude control is a fundamental aspect of spacecraft operations. Model Predictive Control (MPC) has emerged as a powerful strategy for these tasks, relying on accurate models of…

cs.RO2025

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…

cs.RO2025

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…

cs.LG2025

Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection

Gabriele Greco, Carlo Cena, Umberto Albertin +2

Satellites are used for a multitude of applications, including communications, Earth observation, and space science. Neural networks and deep learning-based approaches now represen…