Tommaso Gramegna

Institute of Intelligent Systems for Automation, National Academies of Sciences, Engineering, and Medicine

Papers

Total Citations

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About

Tommaso Gramegna is a pioneer in the field of autonomous mobile robotics, with a research focus on robotic perception, navigation, and environmental modeling. His most influential work, "Optimization of the POSIT algorithm for indoor autonomous navigation" (2004, 21 citations), made significant contributions to improving the accuracy and efficiency of robot localization in indoor environments, a foundational challenge in robotics. Gramegna further advanced the field by developing systems that enable robots to autonomously construct both 2D and 3D models of their surroundings during inspection tasks (2006, 11 citations), demonstrating a practical approach to simultaneous localization and mapping (SLAM) that allows robots to navigate, localize, and recognize previously explored areas. In a notable interdisciplinary achievement, Gramegna applied robotic technology to cultural heritage preservation in his work "Pre-Historical Cave Fruition through Robotic Inspection" (2006, 4 citations). This project deployed a mobile robot to remotely explore and document a cave containing precious prehistoric paintings, enabling both online and offline access to this fragile archaeological site. His work exemplifies how robotics can serve both technical advancement and the preservation of human history.