Badaruddin Sulle
Papers
2
Total Citations
12
H-Index
2
About
Badaruddin Sulle is a robotics researcher whose work focuses on advancing mobile robot navigation and design optimization. His key research areas include autonomous navigation systems, behavior-based robot architectures, and mathematical modeling for robotic movement. Sulle's most notable contribution is the development of the "Mathematics base for mobile robot navigation using mirror petri net method" (2019, 7 citations), which introduces a novel approach to help robots navigate complex environments with multiple obstacles and decision points, enabling precise and efficient pathfinding and return-to-origin capabilities. His earlier work, "Optimization of Circular Robot Size Using Behavior Based Architecture" (2017, 5 citations), addresses the practical challenge of determining optimal robot dimensions, load capacity, and maneuverability—critical factors for building effective robots. This research supports the creation of robots that balance size, resource constraints, and movement flexibility. Sulle's contributions are particularly valuable for students and researchers in robotics and automation, as they provide foundational methods for improving robot autonomy and design efficiency. His work continues to influence the development of smarter, more adaptable mobile robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimization of Circular Robot Size Using Behavior Based Architecture5 citations · 2017