Mirko Baglioni
Papers
3
Total Citations
17
H-Index
2
About
Mirko Baglioni is an emerging researcher specializing in autonomous robotics, mission planning, and search-and-rescue (SaR) systems. His work sits at the intersection of robot autonomy, trajectory optimization, and multi-robot coordination, with a particular focus on developing intelligent solutions for disaster response scenarios where speed and precision can mean the difference between life and death. Baglioni's most significant contribution to date is his novel Model Predictive Control (MPC) formulation for dynamic target tracking, which enables SaR robots to generate time- and space-efficient trajectories toward moving victims — a paper that has already garnered 11 citations since its 2024 publication. Complementing this, his research on heterogeneous robot teams combining aerial and ground vehicles for camera-based environmental mapping (5 citations) demonstrates a strong systems-level thinking toward practical disaster response deployment. His more recent work addresses the critical challenge of autonomous navigation through cluttered, uncertain post-disaster environments, pushing the boundary of what robots can independently handle in unstructured settings. Though early in his research career, Baglioni's growing citation record reflects meaningful traction in the robotics community, positioning him as a promising voice in autonomous SaR robotics research.
Research Focus
Key Achievements
Top Papers
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