Mauro Di Marco

About

Mauro Di Marco is a robotics and autonomous systems researcher whose career has centered on the fundamental challenges of mobile robot navigation, particularly the twin problems of localization and mapping. He is best known for pioneering the application of **set-theoretic and set-membership estimation frameworks** to robotic systems — a rigorous mathematical approach that handles unknown-but-bounded uncertainties rather than relying on probabilistic assumptions. His most influential contribution, a 2003 paper on simultaneous localization and map building (SLAM) for cooperating robot teams using set membership methods (81 citations), helped establish a distinctive bounded-error paradigm for multi-robot coordination in unknown environments. Complementary work on dynamic robot localization and mapping (47 citations) and set membership localization for autonomous navigation (30 citations) further solidified this research thread across the early 2000s. Di Marco also made practical contributions to sensor-based robot control, with well-cited work on sonar-guided wall-following controllers (34 and 32 citations) that achieved global convergence under real-world sensor constraints. His later research extended these foundations into path planning under uncertainty, proposing minimum-uncertainty trajectory strategies within the same bounded-error framework. Collectively, his body of work offers a mathematically principled alternative to probabilistic robotics that remains relevant for safety-critical autonomous navigation applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Simultaneous localization and map building for a team of cooperating robots: a set membership approach

   81 citations · 2003
2. 2
   A Set Theoretic Approach to Dynamic Robot Localization and Mapping

   47 citations · 2003
3. 3
   Sonar-Based Wall-Following Control of Mobile Robots

   34 citations · 1998
4. 4
   Wall-following controllers for sonar-based mobile robots

   32 citations · 2002
5. 5
   Set membership localization and mapping for autonomous navigation

   30 citations · 2001
6. 6
   A set theoretic approach to path planning for mobile robots

   22 citations · 2004
7. 7
   A set theoretic approach to the simultaneous localization and map building problem

   16 citations · 2002
8. 8
   Set Membership Localization and Map Building for Mobile Robots

   6 citations · 2006
9. 9
   Path planning with uncertainty: A set membership approach

   3 citations · 2010
10. 10
    Set membership pose estimation of mobile robots based on angle measurements

    3 citations · 2002

Key Collaborators

Contact & Links