Fabio Giannoni
Papers
2
Total Citations
12
H-Index
2
About
Fabio Giannoni is a leading researcher in robotics and control theory, specializing in optimal motion planning for autonomous vehicles under sensor constraints. His major contributions focus on time-optimal trajectory generation for differential drive robots, particularly when equipped with limited field-of-view (FOV) cameras or bearing constraints. Giannoni’s pioneering work addresses the critical challenge of maintaining visual contact with a landmark during maneuvers, a problem with direct applications in surveillance, inspection, and autonomous navigation. His 2014 paper, with 7 citations, was the first to systematically study minimum-time trajectories for differential drive robots with FOV constraints, providing foundational solutions for real-time path planning. Building on this, his 2017 work extended the framework to bearing constraints, achieving 5 citations and further advancing the field. Giannoni’s research bridges theoretical optimal control and practical robotics, enabling safer and more efficient autonomous systems. His achievements include developing closed-form solutions for complex nonholonomic systems, making his work essential for students and researchers in robotics, control engineering, and autonomous systems design.
Research Focus
Key Achievements
Top Papers
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