Michele Antonazzi
Orcid: 0000-0001-6396-7567
According to our database1,
Michele Antonazzi
authored at least 12 papers
between 2020 and 2025.
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Bibliography
2025
Co-Design and Field Testing of a Platform to Support the Screening of Learning Difficulties.
IEEE Trans. Learn. Technol., 2025
Multi-robot rendezvous in communication-restricted unknown environments via backtracking and semantic frontier-based exploration.
Robotics Auton. Syst., 2025
Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles.
Expert Syst. Appl., 2025
2024
R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement.
CoRR, 2024
Development and Adaptation of Robotic Vision in the Real-World: the Challenge of Door Detection.
CoRR, 2024
Frontier-Based Exploration for Multi-Robot Rendezvous in Communication-Restricted Unknown Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robotic Ecosystems via Proposal Refinement.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles.
Proceedings of the Advances in Artificial Intelligence, 2024
2023
Enhancing Door-Status Detection for Autonomous Mobile Robots During Environment-Specific Operational Use.
Proceedings of the European Conference on Mobile Robots, 2023
Adapting Frontier-Based Exploration for Multi-Robot Rendezvous in Unknown Environments (short paper).
Proceedings of the 10th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023
2022
Enhancing Door Detection for Autonomous Mobile Robots with Environment-Specific Data Collection.
CoRR, 2022
2020
Robot exploration of indoor environments using incomplete and inaccurate prior knowledge.
Robotics Auton. Syst., 2020