Ozair Ali Khan

National University of Computer and Emerging Sciences

Papers

Total Citations

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About

Dr. Ozair Ali Khan is a robotics and control systems researcher whose work focuses on the dynamic stabilization and intelligent control of nonholonomic and underactuated robotic platforms. His most notable contribution is the development of an adaptive intelligent cascade control strategy for a ball-riding robot (BRR), a four-wheeled mechanism that balances atop a single spherical wheel. By modeling the BRR as two decoupled inverted pendulums, Dr. Khan’s approach enables optimal balancing and station-keeping in the presence of disturbances, a critical challenge in mobile robotics. This work, published in 2017 and garnering 17 citations, demonstrates his expertise in merging adaptive control theory with practical robotic design. His research sits at the intersection of nonlinear dynamics, intelligent control, and mechatronics, offering elegant solutions to complex stability problems. Dr. Khan’s contributions are particularly valuable for advancing the autonomy and reliability of single-wheeled and ball-balancing robots, with potential applications in surveillance, exploration, and human-robot interaction. His work stands as a clear example of how theoretical control methods can be effectively translated into robust robotic performance.