Muhammad Rabani Mohd Romlay
Papers
2
Total Citations
17
H-Index
2
About
Muhammad Rabani Mohd Romlay is a robotics researcher whose work centers on intelligent control systems, autonomous navigation, and mobile robotics. His most cited paper, "Obstacle avoidance for a robotic navigation aid using Fuzzy Logic Controller-Optimal Reciprocal Collision Avoidance (FLC-ORCA)" (2023, 11 citations), introduces a novel hybrid approach that combines fuzzy logic with optimal reciprocal collision avoidance to enable safer, more adaptive robot movement in dynamic environments. This contribution is particularly significant for assistive and service robotics, where reliable obstacle avoidance is critical. His earlier review, "Two-wheel balancing robot; review on control methods and experiments" (2019, 6 citations), provides a comprehensive analysis of control strategies for two-wheeled mobile robots, a field known for its challenging balance and maneuverability requirements. Through this work, Romlay synthesizes decades of research, offering valuable insights for engineers and researchers developing compact, agile robotic platforms. His publications demonstrate a clear focus on bridging theoretical control methods with practical, real-world applications, establishing him as a thoughtful contributor to the advancement of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Two-wheel balancing robot; review on control methods and experiments6 citations · 2019