Fadl Lui Hakim Ihsan
Papers
1
Total Citations
4
H-Index
1
About
Fadl Lui Hakim Ihsan is a robotics researcher whose work centers on autonomous robot localization and sensor-based calibration, with a particular focus on the RoboCup Small Size League (SSL) domain. His most cited paper, "Heading Calibration in Robot Soccer ERSOW using Line Landmark on The Field" (2020, 4 citations), addresses a fundamental challenge in robot soccer: ensuring accurate heading data for critical behaviors such as obstacle avoidance, ball kicking, and localization. By leveraging line landmarks on the playing field, Ihsan developed a calibration method that improves the angular precision of robot heading—a key requirement for coordinated team play in dynamic environments. This contribution directly enhances the reliability of autonomous decision-making in multi-robot systems. While his citation count reflects the niche, application-driven nature of his research, the work has practical significance for RoboCup teams and mobile robotics practitioners. Ihsan’s focus on low-cost, field-adaptive calibration techniques demonstrates a commitment to bridging theory and real-world deployment, making his research valuable for students and engineers working on localization in resource-constrained or competition-oriented robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1