46 citations · 145 across the 32 of their papers we have counts for
7 papers · 1 filter
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…
RL-DWA Omnidirectional Motion Planning for Person Following in Domestic Assistance and Monitoring
Andrea Eirale, Mauro Martini, Marcello Chiaberge
Robot assistants are emerging as high-tech solutions to support people in everyday life. Following and assisting the user in the domestic environment requires flexible mobility to…
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.…