Abdul Rehan Khan Mohammed
Papers
2
Total Citations
4
H-Index
2
About
Abdul Rehan Khan Mohammed is an emerging researcher specializing in robust adaptive control systems and robotics, with a particular focus on robot manipulator control and multi-robot synchronization. His work addresses critical challenges in modern industrial automation, where the transition from traditional automated systems to sophisticated robotic platforms demands increasingly reliable and intelligent control frameworks. Mohammed's primary contributions lie in the development of observer-based robust adaptive control schemes for robot manipulators operating under real-world uncertainties. His 2022 study introduced a novel observer-based approach for adaptive tracking in uncertain robot manipulators, specifically targeting external force disturbance rejection — a persistent challenge in industrial robotics. Building upon this foundation, his 2023 work extended these methodologies to multi-robot manipulator systems, addressing the complex problem of synchronized trajectory planning across cooperative robotic platforms used in hazardous environments, automated production, and space exploration. Both publications have garnered 2 citations each, reflecting their recent entry into the research community. His work positions him within the growing field of intelligent robotics control, contributing meaningful solutions to trajectory accuracy and system robustness. As demand for advanced robotic systems accelerates globally, Mohammed's research offers promising frameworks for next-generation industrial and exploratory robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2