Abdul Saboor Khan

National University of Computer and Emerging Sciences

Papers

Total Citations

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About

Abdul Saboor Khan is a robotics researcher whose work focuses on the control and coordination of autonomous mobile systems, with a particular emphasis on nonholonomic robots. His primary research areas include formation control, dynamic modeling, and robust feedback systems for underactuated mechanisms. Khan’s most notable contribution lies in addressing the challenge of multi-agent tracking for nonholonomic mobile robots, where he developed a non-singular terminal sliding mode control approach that enables leader–follower formations without requiring direct leader velocity or position information—a significant advancement for decentralized robotic swarms. His work on PID and backstepping control for two-wheeled differential drive robots further demonstrates his expertise in bridging kinematic and dynamic models to achieve precise motion tracking. With over 28 citations across his top papers, Khan’s research has practical implications for autonomous navigation and assistive technology. Notably, his design of a robust feedback control system for underactuated robotic hands with selectively lockable switches offers a low-cost, sensor-free solution for amputees, highlighting his commitment to accessible rehabilitation robotics. Khan’s contributions continue to influence the development of intelligent, cooperative robotic systems.