Muhammad Nuruddin Sudin
Papers
2
Total Citations
25
H-Index
2
About
Muhammad Nuruddin Sudin is a robotics researcher specializing in humanoid robot localization, particularly within the high-dynamic environment of RoboCup soccer competitions. His work addresses a fundamental challenge in autonomous robotics: enabling a humanoid robot to determine its position on a known field using only a single, onboard camera. His most-cited paper (2019, 22 citations) introduces a novel method using corner intersection and geometric distance estimation, moving beyond the conventional reliance on field poles to create more robust landmarks. This work is critical for robots that must operate without external sensors like GPS or LiDAR. Earlier foundational research (2014) proposed an initial self-localization algorithm that estimates distance to goal posts, forming the basis for a robot’s spatial awareness. Sudin’s contributions are vital for advancing the autonomy of legged robots in competitive and unstructured settings, directly impacting the reliability of vision-based navigation. His work is a key reference for researchers developing cost-effective, vision-only localization systems for humanoid platforms.
Research Focus
Key Achievements
Top Papers
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