Fatma Susilawati
Papers
1
Total Citations
2
H-Index
1
About
Fatma Susilawati is a researcher whose work centers on robotics path planning, particularly in indoor environments. Her key contributions lie in developing efficient navigation algorithms that enable autonomous systems to move intelligently within constrained spaces. Her most cited paper, "Indoor Global Path Planning Based on Critical Cells Using Dijkstra Algorithm" (2015), introduces a grid-based approach that discretizes floor plans into equal-sized squares and applies Dijkstra’s algorithm to compute optimal routes. This work addresses the fundamental challenge of global path planning by focusing on critical cells—key waypoints that simplify complex environments into manageable segments for robotic navigation. While her citation count remains modest, Susilawati’s research provides a practical foundation for indoor robotics applications, from service robots to automated guided vehicles. Her methodology emphasizes computational efficiency and real-world applicability, making her work relevant for students and engineers exploring foundational path planning techniques. By bridging theoretical algorithms with practical implementation, Susilawati contributes to the ongoing development of smarter, more autonomous indoor robotic systems.
Research Focus
Key Achievements
Top Papers
- 1