Monica Mordonini
University of Parma, University of Genoa, University of Perugia
Papers
14
Total Citations
167
H-Index
7
About
Monica Mordonini is a leading researcher in autonomous robotics, specializing in vision-based navigation, omnidirectional sensing, and multi-agent coordination. Her work has fundamentally advanced how mobile robots perceive and localize themselves in dynamic environments. Her most influential paper, "Vision-based localization for mobile robots" (2001), has garnered 44 citations and established foundational methods for robot self-positioning using visual landmarks. Mordonini pioneered the development of omnidirectional stereo systems, as detailed in her highly cited 2003 paper (27 citations), which demonstrated how 360-degree vision sensors can outperform traditional stereo cameras for robot navigation, offering superior versatility and performance. She has also made significant contributions to RoboCup competitions, notably through her research on landmark-based self-localization for goal-keepers (18 citations) and genetic programming of control strategies (11 citations). Her innovative hybrid stereo sensor combining perspective and omnidirectional vision (2007, 9 citations) provides both wide field-of-view and high-resolution imaging for 3D metric reconstruction. Mordonini's work on autonomous agent coordination using traffic rules (2002, 5 citations) has implications for safe human-robot interaction. Her research continues to shape the fields of robot vision, localization, and cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1Vision-based localization for mobile robots44 citations · 2001
- 2Omnidirectional stereo systems for robot navigation27 citations · 2003
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- 4Robot self-localization by means of vision18 citations · 2002
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- 9Autonomous agents coordination through traffic signals and rules5 citations · 2002
- 10Team/goal-keeper coordination in the RoboCup mid-size league5 citations · 2001