Zanuar Tri Romadon
Papers
1
Total Citations
16
H-Index
1
About
Zanuar Tri Romadon is a robotics researcher specializing in autonomous systems, sensor fusion, and multi-robot coordination, with a primary focus on soccer robots for the RoboCup Middle Size League (MSL). His most cited work, "Pose Estimation on Soccer Robot using Data Fusion from Encoders, Inertial Sensor, and Image Data" (2019, 16 citations), addresses a critical challenge in mobile robotics: accurately determining a robot's position and orientation in dynamic environments. By integrating data from encoders, inertial sensors, and visual inputs, Romadon developed a robust pose estimation method that enhances individual robot autonomy—a foundation for effective ball detection and cooperative play. This contribution directly supports MSL’s broader research goals, where robots must not only perceive their surroundings but also collaborate seamlessly with teammates. Romadon’s work bridges low-level sensor processing and high-level team strategy, making him a key figure in advancing RoboCup’s vision of autonomous, cooperative soccer robots. His research continues to influence the design of reliable, real-time localization systems in competitive robotics.
Research Focus
Key Achievements
Top Papers
- 1