Papers
4
Total Citations
31
H-Index
3
About
Philippe Marthon is a leading researcher in mobile robot navigation, with a focused expertise in path planning and trajectory optimization. His major contributions center on the innovative use of Non-Uniform Rational B-Splines (NURBS) curves to generate smooth, feasible, and optimal paths for autonomous robots. Marthon pioneered a novel roadmap algorithm that transforms the classic shortest-polyline path problem into a refined, continuous-curvature solution, significantly improving robot maneuverability in static environments. His 2016 paper, "A New Path Generation Algorithm Based on Accurate NURBS Curves," has garnered 17 citations, establishing a foundational method for integrating graph modeling with NURBS-based smoothing. He extended this work into multi-objective optimization, as seen in his 2015 paper (6 citations), and demonstrated the power of genetic algorithms for fine-tuning NURBS parameters (3 citations). By bridging computational geometry with evolutionary optimization, Marthon has advanced practical navigation systems, enabling robots to traverse cluttered spaces with greater efficiency and precision. His research remains a key reference for engineers and academics developing robust, real-world autonomous navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1A New Path Generation Algorithm Based on Accurate NURBS Curves17 citations · 2016
- 2NURBS Based Multi-objective Path Planning6 citations · 2015
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