Moch. Syaiful Komar
Papers
1
Total Citations
3
H-Index
1
About
Moch. Syaiful Komar is a robotics researcher specializing in autonomous navigation and sensor fusion for mobile robots, with a particular focus on soccer-playing robots. His most-cited work, "A Robust Visual-IMU-Wheel Odometry Using PID Controller for Autonomous Soccer Robots" (2022), addresses the critical challenge of accurate self-localization in indoor environments where GNSS signals are unreliable. By integrating visual, inertial, and wheel odometry data with a PID controller, Komar’s approach achieves superior resolution and sampling rates, enabling robots to navigate dynamically and maintain precise positioning during fast-paced matches. This contribution has garnered 3 citations, reflecting its relevance in the RoboCup and autonomous systems communities. Komar’s research bridges practical robotics and control theory, offering solutions that enhance the reliability of autonomous navigation in constrained, real-world scenarios. His work is particularly valuable for students and researchers exploring sensor fusion, odometry, and PID-based control in robotics, demonstrating how robust localization can elevate the performance of autonomous agents in competitive and unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1