46 citations · 145 across the 32 of their papers we have counts for
32 papers
Navigating the Crowd: Non-linear MPC with Social Forces Dynamics for Human-Aware Robot Navigation
Stefano Trepella, Andrea Ostuni, Mauro Martini +5
Safe and socially compliant navigation remains a fundamental challenge for autonomous robots operating in human-populated environments. Beyond collision avoidance, robots must anti…
MPC for underactuated spacecraft control with a Lyapunov supervised physics-informed neural network correction layer
Amirhossein Ayanmanesh Motlaghmofrad, Carlo Cena, Mauro Martini +1
Underactuated spacecraft faces controllability limitations and heightened sensitivity to environmental disturbances, complicating attitude maneuvering and stabilization. Due to the…
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…
Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
Carlo Cena, Mauro Martini, Marcello Chiaberge
Reliable spacecraft attitude control depends on accurate prediction of attitude dynamics, particularly when model-based strategies such as Model Predictive Control (MPC) are employ…
Low Cost, High Efficiency: LiDAR Place Recognition in Vineyards with Matryoshka Representation Learning
Judith Vilella-Cantos, Mauro Martini, Marcello Chiaberge +2
Localization in agricultural environments is challenging due to their unstructured nature and lack of distinctive landmarks. Although agricultural settings have been studied in the…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Enhancing Navigation Benchmarking and Perception Data Generation for Row-based Crops in Simulation
Mauro Martini, Andrea Eirale, Brenno Tuberga +5
Service robotics is recently enhancing precision agriculture enabling many automated processes based on efficient autonomous navigation solutions. However, data generation and infi…
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…
Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
Simone Angarano, Mauro Martini, Alessandro Navone +1
In recent years, precision agriculture has gradually oriented farming closer to automation processes to support all the activities related to field management. Service robotics pla…
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…
PIC4rl-gym: a ROS2 modular framework for Robots Autonomous Navigation with Deep Reinforcement Learning
Mauro Martini, Andrea Eirale, Simone Cerrato +1
Learning agents can optimize standard autonomous navigation improving flexibility, efficiency, and computational cost of the system by adopting a wide variety of approaches. This w…
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…