M. F. Nasudin
Papers
1
Total Citations
22
H-Index
1
About
M. F. Nasudin is a robotics researcher whose work focuses on humanoid robot localization and vision systems, particularly within the competitive RoboCup environment. His key contributions lie in developing robust methods for enabling humanoid robots to determine their position on a dynamic playing field without relying on conventional external landmarks like poles. In his most cited work, "Humanoid Localization on RoboCup Field using Corner Intersection and Geometric Distance Estimation" (2019, 22 citations), Nasudin introduced an innovative approach that uses field corner intersections and geometric distance calculations to generate reliable landmarks directly from the field lines. This method significantly improves localization accuracy in the fast-paced, adversarial conditions of robot soccer, where traditional pole-based systems can fail due to occlusion or field variations. His research has practical implications for autonomous navigation in structured environments, advancing the reliability of humanoid robots in real-world tasks. With his work cited by peers in robotics and computer vision, Nasudin has made a meaningful impact on the field of autonomous robot localization.
Research Focus
Key Achievements
Top Papers
- 1