278 citations · 1.1k across the 15 of their papers we have counts for
15 papers
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…
Ultra-low-power Range Error Mitigation for Ultra-wideband Precise Localization
Simone Angarano, Francesco Salvetti, Vittorio Mazzia +3
Precise and accurate localization in outdoor and indoor environments is a challenging problem that currently constitutes a significant limitation for several practical applications…
Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation
Simone Angarano, Francesco Salvetti, Mauro Martini +1
Single-Image Super-Resolution can support robotic tasks in environments where a reliable visual stream is required to monitor the mission, handle teleoperation or study relevant vi…
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
Simone Angarano, Mauro Martini, Francesco Salvetti +2
Domain Generalization (DG) studies the capability of a deep learning model to generalize to out-of-training distributions. In the last decade, literature has been massively filled…
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…
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Vittorio Mazzia, Simone Angarano, Francesco Salvetti +2
Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer. In Human Action Recognition (…
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge
Deep convolutional neural networks, assisted by architectural design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to…
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-wideband
Enrico Sutera, Vittorio Mazzia, Francesco Salvetti +2
Indoor autonomous navigation requires a precise and accurate localization system able to guide robots through cluttered, unstructured and dynamic environments. Ultra-wideband (UWB)…
Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge
Simone Angarano, Vittorio Mazzia, Francesco Salvetti +2
Ultra-wideband (UWB) is the state-of-the-art and most popular technology for wireless localization. Nevertheless, precise ranging and localization in non-line-of-sight (NLoS) condi…
DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation
Vittorio Mazzia, Francesco Salvetti, Diego Aghi +1
Agriculture 3.0 and 4.0 have gradually introduced service robotics and automation into several agricultural processes, mostly improving crops quality and seasonal yield. Row-based…
A Cost-Effective Person-Following System for Assistive Unmanned Vehicles with Deep Learning at the Edge
Anna Boschi, Francesco Salvetti, Vittorio Mazzia +1
The vital statistics of the last century highlight a sharp increment of the average age of the world population with a consequent growth of the number of older people. Service robo…
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks
Francesco Salvetti, Vittorio Mazzia, Aleem Khaliq +1
Convolutional Neural Networks (CNNs) have been consistently proved state-of-the-art results in image Super-Resolution (SR), representing an exceptional opportunity for the remote s…
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application
Vittorio Mazzia, Francesco Salvetti, Aleem Khaliq +1
Real-time apple detection in orchards is one of the most effective ways of estimating apple yields, which helps in managing apple supplies more effectively. Traditional detection m…