Michele Antonazzi
Papers
5
Total Citations
48
H-Index
3
About
Michele Antonazzi is a robotics researcher whose work focuses on enabling autonomous mobile robots to navigate and operate effectively in real-world, unstructured indoor environments. His primary research areas include robotic exploration, door-status detection, multi-robot coordination, and domain adaptation for robotic vision. Antonazzi’s major contributions center on solving practical perception and navigation challenges. His most cited work, "Robot exploration of indoor environments using incomplete and inaccurate prior knowledge" (2020, 33 citations), addresses how robots can efficiently explore spaces even when given flawed map data. He has also made significant advances in door-status detection, demonstrating in a 2023 study how recognizing whether a door is open or closed dramatically improves navigation in dynamic settings where passages can change. For multi-robot systems, his 2024 paper tackles the critical problem of rendezvous in communication-restricted unknown environments, proposing frontier-based exploration strategies. Additionally, his 2025 work on adapting robotic vision for door detection in long-term deployments, and his R2SNet framework (2024) for scalable domain adaptation in cloud-based robotic ecosystems, highlight his commitment to bridging the gap between laboratory research and robust, real-world robotic performance.
Research Focus
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Top Papers
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