Michele Antonazzi

Postdoc, KTH Royal Institute of Technology

Joined

July 2024

Names

Michele Antonazzi (Preferred)

Emails

****@unimi.it (Confirmed)

****@kth.se (Confirmed)

Personal Links

Career & Education History

Postdoc

KTH Royal Institute of Technology (kth.se)

2025 – 2027

PhD student

University of Milan (unimi.it)

2022 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Nicola Basilico

Present

Coauthor

Matteo Luperto

Present

Coauthor

Francesco Amigoni

Present

Expertise

Domain adaptation

Present

Cloud robotics

Present

Object detection

Present

Privacy in machine learning

Present

Publications

Multi-robot rendezvous in communication-restricted unknown environments via backtracking and semantic frontier-based exploration
Matteo Luperto, Mauro Tellaroli, Michele Antonazzi, Nicola Basilico
- Robotics Auton. Syst. 2025
- Readers: Everyone
Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles
Samuel Yanes Luis, Nicola Basilico, Michele Antonazzi, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
- Expert Syst. Appl. 2025
- Readers: Everyone
Privacy-Preserving Robotic Perception for Object Detection in Curious Cloud Robotics
Michele Antonazzi, Matteo Alberti, Alex Bassot, Matteo Luperto, Nicola Basilico
- IEEE Trans. Robotics 2025
- Readers: Everyone
VAE-Informed Patrolling for Online Environmental Monitoring with Heterogeneous ASV-UAV Teams
Alex Bassot, Michele Antonazzi, Edoardo Rodiani, Samuel Yanes Luis, Matteo Luperto, Nicola Basilico
- ECMR 2025
- Readers: Everyone
R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robotic Ecosystems via Proposal Refinement
Michele Antonazzi, Matteo Luperto, N. Alberto Borghese, Nicola Basilico
- IROS 2024
- Readers: Everyone
Enhancing Door-Status Detection for Autonomous Mobile Robots During Environment-Specific Operational Use
Michele Antonazzi, Matteo Luperto, Nicola Basilico, N. Alberto Borghese
- ECMR 2023
- Readers: Everyone
Robot exploration of indoor environments using incomplete and inaccurate prior knowledge
Matteo Luperto, Michele Antonazzi, Francesco Amigoni, N. Alberto Borghese
- 2020 (modified: 09 Jan 2022)
- Robotics Auton. Syst. 2020
- Readers: Everyone

Michele Antonazzi

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Multi-robot rendezvous in communication-restricted unknown environments via backtracking and semantic frontier-based exploration

Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles

Privacy-Preserving Robotic Perception for Object Detection in Curious Cloud Robotics

VAE-Informed Patrolling for Online Environmental Monitoring with Heterogeneous ASV-UAV Teams

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robotic Ecosystems via Proposal Refinement

Enhancing Door-Status Detection for Autonomous Mobile Robots During Environment-Specific Operational Use

Robot exploration of indoor environments using incomplete and inaccurate prior knowledge

Co-Authors