Erlangga Yudi Pradana
Papers
2
Total Citations
3
H-Index
1
About
Erlangga Yudi Pradana is a robotics researcher whose work sits at the intersection of computer vision and locomotion control for humanoid robots. His primary research areas include real-time object detection optimization and dynamic walking stability, with a specific focus on humanoid soccer platforms. Pradana’s most notable contribution is his work on optimizing YOLOv8 for real-time performance using OpenVINO, a breakthrough that enables humanoid soccer robots to process visual data with the speed and accuracy essential for competitive play. He has also made significant strides in locomotion by developing an integrated footstep planning and Center of Mass (CoM) control system for the EROS humanoid robot, enhancing its stability and maneuverability during dynamic walking. While his most-cited papers are recent (2024), they represent foundational work in making humanoid robots more responsive and agile in real-world scenarios. Pradana’s research is particularly relevant for students and engineers working on autonomous robotics, offering practical solutions for the twin challenges of perception and motion control in humanoid systems.
Research Focus
Key Achievements
Top Papers
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