Sofyan Iskandar
Papers
1
Total Citations
14
H-Index
1
About
Sofyan Iskandar is a robotics researcher whose work focuses on autonomous navigation and path optimization for mobile robots. His most significant contribution is the development of the Short Path Finder Algorithm, a novel approach for line maze solving robots that integrates three operational modes: search, short path, and return/path modes. This algorithm, detailed in his highly cited 2019 paper, enables robots to efficiently navigate complex mazes by first exploring the environment, then calculating the optimal route, and finally executing the shortest path. The paper has garnered 14 citations, demonstrating its influence in the field of educational and competitive robotics. Iskandar's work is particularly notable for its practical application in modifying standard line follower robots, making advanced pathfinding accessible for hobbyists and students. By combining speed control with intelligent path optimization, his research bridges the gap between theoretical algorithms and real-world robotic implementation, offering a robust solution for maze-solving challenges that has become a reference point for subsequent studies in autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1