Tomasz Gawron
Papers
8
Total Citations
68
H-Index
5
About
Tomasz Gawron is a leading researcher in mobile robotics, specializing in motion planning and feedback control for nonholonomic vehicles operating under strict state and input constraints. His core contributions center on the Vector-Field-Orientation (VFO) method, a unified control framework he has advanced to solve trajectory tracking, set-point control, and path following for unicycle-like and car-like robots. Gawron’s work is distinguished by its rigorous theoretical guarantees—ensuring collision-free, curvature-constrained motion with provably bounded transients, even in cluttered polygonal environments. His most cited paper (2017, 21 citations) establishes VFO path following with positionally constrained transients, while a 2018 paper (14 citations) introduces a G3-continuous path extension procedure for autonomous driving. Across over 50 cumulative citations, Gawron has integrated motion planning with positively invariant funnels and SOS optimization to ensure safety under uncertainty. His research directly addresses practical challenges in autonomous transportation and agile maneuvering, bridging the gap between theoretical control design and real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
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- 5VFO stabilization of a unicycle robot with bounded curvature of motion5 citations · 2015
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