M. Castelnovi

Papers

Total Citations

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About

Michele Castelnovi’s research centers on autonomous mobile robotics, with a particular focus on enabling robots to navigate and operate intelligently in unstructured, dynamic environments. His major contributions lie in terrain-adaptive navigation and vision-based surveillance. In his most cited work, "Reactive Speed Control System Based on Terrain Roughness Detection" (2006, 30 citations), Castelnovi addressed the non-trivial challenge of allowing a robot to autonomously adjust its speed based on the roughness of natural terrain, a critical capability for reliable outdoor navigation. He further advanced the field of surveillance robotics with a 2004 paper (16 citations) that described a system enabling a mobile robot to detect unexpected changes in a familiar setting—such as the presence of an unfamiliar object or an open door—by analyzing and clustering scene colors. His work on Markov-localization through color feature comparison (2005, 4 citations) tackled the fundamental problem of self-localization in dynamically changing environments, balancing robustness against environmental variability. Through these contributions, Castelnovi has helped bridge the gap between controlled indoor robotics and the unpredictable realities of outdoor and human-inhabited spaces, demonstrating practical solutions for speed control, change detection, and reliable localization.