Rizwan Aziz Mangi
Papers
1
Total Citations
2
H-Index
1
About
Rizwan Aziz Mangi is a leading researcher in advanced robotics and control systems, with a primary focus on autonomous inspection technologies. His most notable contribution is the development of a Fractional Order PID (FOPID)-controlled self-propelled pipeline inspection robot, designed for internal mapping of small-diameter pipelines. This work addresses critical limitations of conventional external sensing methods—such as cameras and laser scanners—which are often costly, bulky, and unreliable in low-light or harsh environments. By integrating robust fractional-order control with autonomous navigation, Mangi’s robot enables precise, real-time internal pipeline mapping without dependence on external sensors. His 2025 paper on this innovation has already garnered early citations, signaling growing interest in his practical, cost-effective solutions for industrial infrastructure monitoring. Mangi’s research bridges control theory and mechatronics, offering scalable tools for the oil, gas, and water utility sectors. His work stands out for its direct applicability to real-world challenges, making him a rising figure in the field of intelligent robotics and pipeline integrity management.
Research Focus
Key Achievements
Top Papers
- 1