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About

Claudio Cimarelli is a robotics researcher whose work sits at the intersection of autonomous navigation, situational awareness, and human-robot interaction. His primary research areas include Simultaneous Localization and Mapping (SLAM), radio-frequency localization for aerial and ground robots, and vision-based perception systems. Cimarelli’s most impactful contribution is his comprehensive survey "From SLAM to Situational Awareness: Challenges and Survey" (2023, 60 citations), which bridges the gap between traditional mapping and higher-level reasoning, enabling robots to understand and act within complex, unknown environments. He has also advanced localization techniques through his review of 5G-based positioning for UGVs and UAVs (2022, 34 citations), highlighting the potential of cellular networks to enhance robot autonomy. Notable works include "Faster Visual-Based Localization with Mobile-PoseNet" (2019) and "Real-Time Human Head Imitation for Humanoid Robots" (2019), the latter addressing realistic movement mapping for improved human-robot interaction. With a growing citation record, Cimarelli’s research is shaping how robots perceive, localize, and interact—paving the way for more intelligent, situation-aware autonomous systems.