Matteo Luperto
Papers
37
Total Citations
455
H-Index
12
About
Matteo Luperto is a robotics researcher whose work spans autonomous mobile robots, indoor environment modeling, and assistive technology for aging populations. His research sits at a compelling intersection of artificial intelligence, human-robot interaction, and ambient assisted living, making meaningful contributions to each domain. Luperto is perhaps best known for his central role in the **MoveCare Project**, a European initiative developing integrated frameworks combining socially assistive robots, IoT systems, and smart environments to support independently living elderly people at home. His publications on this project have accumulated over 150 citations collectively, reflecting the project's broad impact across robotics and gerontechnology communities. On the foundational side, Luperto has advanced how robots understand and navigate indoor spaces. His work on predicting global indoor structure using machine learning (29 citations) and robot exploration with incomplete prior knowledge (33 citations) addresses core challenges in autonomous navigation. His development of semantic mapping techniques leveraging architectural typologies further demonstrates his ability to bridge perception, knowledge representation, and real-world deployment. Luperto also contributes to experimental rigor in robotics, notably through work on automatic evaluation and repeatability of SLAM algorithms. Across his career, his research consistently moves from theoretical foundations toward long-term, real-world deployment — a rare and valuable combination in the field.
Research Focus
Key Achievements
Top Papers
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- 5The MOVECARE Project: Home-based Monitoring of Frailty24 citations · 2019
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- 10Predicting the Layout of Partially Observed Rooms from Grid Maps19 citations · 2019