Mirko Nava

Vision-state Fusion: Improving Deep Neural Networks for Autonomous Robotics

Elia Cereda, Stefano Bonato, Mirko Nava, Alessandro Giusti, and Daniele Palossi.

Journal of Intelligent & Robotic Systems, vol. 110, 2024.

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task

Mirko Nava, Nicholas Carlotti, Luca Crupi, Daniele Palossi, and Alessandro Giusti.

IEEE Robotics and Automation Letters, vol. 9, pp. 3363-3370, 2024.

Self-Supervised Robot Learning for Spatial Perception

Mirko Nava.

Doctoral Dissertation, Università della Svizzera italiana, 2023.

Learning Visual Localization of a Quadrotor Using its Noise as Self-Supervision

Mirko Nava, Antonio Paolillo, Jérôme Guzzi, Luca Maria Gambardella, and Alessandro Giusti.

IEEE Robotics and Automation Letters, vol. 7, pp. 2218-2225, 2022.

Uncertainty-aware Self-Supervised Learning of Spatial Perception Tasks

Mirko Nava, Antonio Paolillo, Jérôme Guzzi, Luca Maria Gambardella, and Alessandro Giusti.

IEEE Robotics and Automation Letters, vol. 6, pp. 6693-6700, 2021.

State-consistency Loss for Learning Spatial Perception Tasks From Partial Labels

Mirko Nava, Luca Maria Gambardella, and Alessandro Giusti.

IEEE Robotics and Automation Letters, vol. 6, pp. 1112-1119, 2021.

On the Benefits of Domain Adaptation Techniques for Quality of Transmission Estimation in Optical Networks

Cristina Rottondi, Riccardo Di Marino, Mirko Nava, Alessandro Giusti, and Andrea Bianco.

Journal of Optical Communications and Networking, vol. 13, pp. 34-43, 2021.

Path Planning With Local Motion Estimations

Jérôme Guzzi, Ricardo Omar Chavez-Garcia, Mirko Nava, Luca Maria Gambardella, and Alessandro Giusti.

IEEE Robotics and Automation Letters, vol. 5, pp. 2586-2593, 2020.

Learning Long-range Perception Using Self-Supervision From Short-range Sensors and Odometry

Mirko Nava, Jérôme Guzzi, Ricardo Omar Chavez-Garcia, Luca Maria Gambardella, and Alessandro Giusti.

IEEE Robotics and Automation Letters, vol. 4, pp. 1279-1286, 2019.

Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of its LEDs

Nicholas Carlotti, Mirko Nava, and Alessandro Giusti.

IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2763-2769, 2024.

Visual Servoing With Geometrically Interpretable Neural Perception

Antonio Paolillo, Mirko Nava, Dario Piga, and Alessandro Giusti.

IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5300-5306, 2022.

Multi-LED Classification as Pretext for Robot Heading Estimation

Nicholas Carlotti, Mirko Nava, and Alessandro Giusti.

IEEE ICRA@40, 2024.

Now I See You: Self-Supervised Learning of Omnidirectional Human Motion Estimation

Simone Arreghini, Nicholas Carlotti, Mirko Nava, Alessandro Giusti, and Antonio Paolillo.

International Workshop on Human-Friendly Robotics, 17th Edition, 2024.

Real-time Fully Convolutional Networks for Peer-to-Peer Nano-drone Visual Localization and LED State Estimation

Nicholas Carlotti, Mirko Nava, and Alessandro Giusti.

Springer Nature European Robotics Forum, vol. 1, pp. 310-314, 2024.

Learning to Perceive Long-range Obstacles Using Self-Supervision From Short-range Sensors

Mirko Nava, Jérôme Guzzi, Ricardo Omar Chavez-Garcia, Luca Maria Gambardella, and Alessandro Giusti.

AAAI Conference on Artificial Intelligence, pp. 9867-9868, 2019.

Striking a Balance Between Novelty and Data Protection

Panelist at Roundatable on AI for Enterprises, Hyphen-group, 3 July 2025.

Computer Vision for Mechanical Systems: Overview of Theory and Applications

Lecture at the course of Machine Learning for Mechanical Systems, Politecnico di Milano, 21 May 2025.

The Importance of Symbols: An AI Perspective

Talk at Digital Content Factory Revolution, Hyphen-group, 6 June 2024.