L. Hilario
Papers
8
Total Citations
81
H-Index
6
About
L. Hilario is a researcher at the forefront of educational robotics and computational path planning, bridging the gap between theoretical algorithms and practical, real-time applications. Their work centers on two key areas: developing accessible, real-time platforms for teaching robotics and computer science, and pioneering the use of Proper Generalized Decomposition (PGD) for dynamic robot navigation. Hilario’s most impactful contribution is the creation of a novel MATLAB/Simulink/LEGO EV3 platform, which has garnered 26 citations for its role in modernizing university curricula by enabling hands-on, real-time experimentation. This work is complemented by a gamification approach for teaching maths and physics, earning 10 citations for its innovative educational design. In algorithmic research, Hilario has advanced path planning with a PGD-based method for dynamic environments (13 citations), offering a computationally efficient solution for real-time collision avoidance. Their notable achievements include developing real-time Bezier trajectory deformation techniques and a PGD framework for harmonic function-based planning. With a total of over 80 citations across their publications, Hilario’s work is essential reading for students and researchers interested in accessible robotics education and efficient, real-time navigation algorithms.
Research Focus
Key Achievements
Top Papers
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- 7A PGD-based Method for Robot Global Path Planning: A Primer3 citations · 2019
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