Fahrudin Fahrudin
Papers
1
Total Citations
3
H-Index
1
About
Fahrudin Fahrudin is a researcher in mobile robotics, with a primary focus on path planning for autonomous systems operating under differential constraints. His most notable contribution is the development of a modified Rapidly-exploring Random Tree (RRT*) algorithm, which he innovatively merged with Dubin’s curves and the A* search heuristic. This work, detailed in his 2022 paper "Dubin’s Curve of RRT* Merged With A*," addresses the fundamental challenge of generating smooth, feasible trajectories for non-holonomic robots. By integrating the optimality of RRT* with the curvature-constrained paths of Dubin’s curves and the efficiency of A*, Fahrudin’s approach significantly enhances the quality and computational speed of path planning in cluttered environments. While his research is still emerging, with his key paper accumulating 3 citations, it represents a meaningful step toward more practical and robust navigation solutions for real-world mobile robots. His work is particularly relevant for students and researchers interested in sampling-based planning, motion control, and the intersection of graph search and geometric path generation.
Research Focus
Key Achievements
Top Papers
- 1Dubin’s Curve of RRT* Merged With A*3 citations · 2022