Mohd Aliff Afira Sani
Papers
1
Total Citations
2
H-Index
1
About
Mohd Aliff Afira Sani is a robotics researcher specializing in control systems, embedded platforms, and sensor fusion for autonomous mobile robots. His most cited work, "The Development of a Self-Balancing Robot Based on Complementary Filter and Arduino" (2023), demonstrates a practical approach to balancing control using low-cost hardware and efficient filtering techniques. This paper, with 2 citations, highlights his contribution to accessible robotics—showing how complementary filters can achieve stable two-wheeled robot balance without expensive sensors. Sani’s research bridges theoretical control algorithms and real-world implementation, making advanced robotics more attainable for students and hobbyists. His work underscores the importance of sensor fusion in dynamic stability, a key challenge in mobile robotics. By focusing on Arduino-based systems, he has contributed to the democratization of robotics education, enabling broader experimentation in self-balancing platforms. Sani’s efforts align with the growing trend of open-source, low-cost robotics, inspiring new researchers to explore control theory and embedded system design.
Research Focus
Key Achievements
Top Papers
- 1