Zulkifli Musa
Papers
1
Total Citations
3
H-Index
1
About
Zulkifli Musa is a robotics and control systems researcher whose work focuses on the system identification and controller design of wheeled mobile robots. His most-cited paper, "Motion Tracker Based Wheeled Mobile Robot System Identification and Controller Design" (2018), has garnered 3 citations, establishing a foundational contribution to the field of autonomous navigation and motion tracking. Musa’s research integrates sensor-based motion tracking with advanced control algorithms to improve the accuracy and stability of mobile robot platforms, addressing critical challenges in real-time trajectory tracking and system modeling. His work is particularly relevant for applications in industrial automation, service robotics, and autonomous vehicles, where precise motion control is essential. While his citation count is modest, Musa’s contributions are notable for their practical approach to bridging theoretical control methods with experimental validation, offering a clear methodology for researchers and engineers developing wheeled robot systems. His research underscores the importance of robust system identification in enhancing the performance of autonomous robots, making him a valuable reference for students and practitioners exploring motion control and robotics.
Research Focus
Key Achievements
Top Papers
- 1