Mattia Piazza
Papers
1
Total Citations
3
H-Index
1
About
Mattia Piazza is a researcher in robotics and autonomous systems, with a primary focus on motion planning and optimal control under non-holonomic constraints. His major contribution lies in tackling the notoriously difficult Three-Point Dubins Problem (3PDP), which seeks the shortest curvature-bounded path connecting two poses while passing through a specified waypoint. In his 2024 paper, Piazza introduced a novel non-smooth numerical optimization approach that elegantly handles the discontinuities inherent in such path-planning problems. This work provides a computationally efficient alternative to purely geometric methods, enabling more practical applications in unmanned aerial vehicle (UAV) routing and autonomous vehicle navigation. While his most-cited paper has garnered 3 citations to date—a modest number reflecting its recent publication—the work has already attracted attention from researchers in non-holonomic motion planning. Piazza’s approach represents a meaningful step forward in solving constrained path optimization problems, demonstrating how modern numerical techniques can address classical geometric challenges in robotics.
Research Focus
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Top Papers
- 1