Papers
3
Total Citations
8
H-Index
2
About
Abdulbasit Hassan is a robotics and control systems researcher whose work focuses on the modeling, estimation, and robust control of robotic manipulators and autonomous agricultural systems. His research addresses critical challenges in precision agriculture and industrial automation, particularly in developing state estimators and controllers for systems with unmeasured states or flexible components. His most cited work, "Modelling and Design of State Estimator for a Pick and Place Robotic Arm" (2021, 4 citations), establishes foundational methods for robust system modeling essential for controller and observer design. In "Trajectory Tracking of a Ground Agricultural Robot Using Sliding Mode Control" (2021, 3 citations), Hassan tackles food security challenges through precision agriculture, optimizing farm inputs with advanced control strategies. His recent work on "Analysis of Robust Control Method for Single Link Flexible Manipulator" (2024, 1 citation) extends these techniques to address link flexibility—a critical factor in modern industrial robotics. Through these contributions, Hassan demonstrates a consistent focus on bridging theoretical control methods with practical robotic applications, from agricultural automation to industrial manipulation, establishing himself as an emerging voice in robust and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Modelling and Design of State Estimator for a Pick and Place Robotic Arm4 citations · 2021
- 2
- 3Analysis of Robust Control Method for Single Link Flexible Manipulator1 citations · 2024