Papers
5
Total Citations
92
H-Index
4
About
Naveed Mazhar is a robotics and control systems researcher whose work spans mobile robotics, flexible-joint manipulators, and advanced observer-based control design. His most influential contribution, a comprehensive 2020 survey on skid-steer wheeled mobile robots (SSWMRs), has garnered 51 citations and serves as a foundational reference for researchers navigating the complex challenges of control, guidance, and navigation in this class of vehicles. This work reflects his commitment to synthesizing fragmented literature into accessible, unified frameworks for the research community. Beyond mobile robotics, Mazhar has made significant strides in addressing the longstanding challenges of controlling flexible-joint robotic manipulators — systems notorious for their nonlinearity, parametric uncertainty, and susceptibility to external disturbances. His 2021 paper on robust output feedback control using high-gain observers (HGOs), cited 30 times, is particularly noteworthy for reducing the number of required sensing elements, a practical advancement with real-world engineering implications. His subsequent work on extended high-gain observers (EHGOs) further refines these approaches by improving noise rejection and disturbance attenuation. Collectively, Mazhar's research demonstrates a rigorous, application-driven approach to modern control theory, making him a valuable reference point for students and engineers working in autonomous robotics and mechatronic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5