Sabudin E.N.
Papers
1
Total Citations
5
H-Index
1
About
Sabudin E.N. is a robotics researcher whose work centers on autonomous navigation and path planning, a critical enabler for self-operating machines. Her most-cited study, "Performance comparison of path planning methods" (2015, 5 citations), systematically evaluates foundational algorithms—cell decomposition, Voronoi diagrams, probabilistic roadmaps, and visibility graphs—providing a clear benchmark for selecting optimal routes in dynamic environments. This comparative analysis has helped guide subsequent research into efficient, collision-free movement for mobile robots. Beyond this key contribution, Sabudin’s broader investigations address the integration of sensing and control in autonomous systems, aiming to improve real-time decision-making under uncertainty. Her work, though modest in citation count, offers a practical foundation for students and engineers entering the field of robotics, clarifying trade-offs between computational cost and path optimality. Sabudin continues to explore how these classical methods can be adapted for emerging applications, from warehouse logistics to field robotics, ensuring her research remains relevant as autonomous technology evolves.
Research Focus
Key Achievements
Top Papers
- 1Performance comparison of path planning methods5 citations · 2015