Sumiati Suparmin
Papers
1
Total Citations
3
H-Index
1
About
Sumiati Suparmin is a researcher whose work lies at the intersection of computational mathematics and robotics, with a particular focus on path planning for autonomous systems. Her most cited paper, "Path planning of indoor mobile robot using harmonic potentials via half-sweep modified SOR method" (2017), introduces a novel approach that combines Half-Sweep (HS) iteration with the Modified Successive Over-Relaxation (MSOR) method. This technique efficiently solves the harmonic potential equations that guide a mobile robot’s navigation through indoor environments, offering a computationally optimized solution to a classic robotics challenge. While her citation count remains modest—with this key work garnering 3 citations—the research demonstrates a meaningful contribution to the field of numerical methods applied to robotics. Suparmin’s work is particularly notable for bridging theoretical iterative solvers with practical robotic applications, showcasing how advanced mathematical techniques can enhance real-world autonomous navigation. Her contributions are valuable for researchers exploring efficient algorithms in mobile robotics and computational optimization.
Research Focus
Key Achievements
Top Papers
- 1