Papers
8
Total Citations
54
H-Index
5
About
Bilal M. Yousuf is a robotics and control systems researcher whose work spans mobile robot control, multi-agent systems, and autonomous aerial vehicles. His primary contributions lie in developing advanced control strategies for nonholonomic mobile robots — systems notoriously difficult to stabilize due to their nonintegrable motion constraints. Yousuf has made significant strides in trajectory tracking, formation control, and dynamic modeling, employing sophisticated techniques including non-singular terminal sliding mode control, feedback linearization, PID, and backstepping methods. His 2019 paper on multi-agent tracking using terminal sliding mode control stands as his most cited work, accumulating 14 citations, while his dynamic modeling and PID-backstepping study has attracted 12 citations, reflecting sustained community interest in practical mobile robot control solutions. Beyond ground robotics, Yousuf has expanded his research into UAV-based target search, developing novel exploration-based planning algorithms that leverage random finite set theory and particle filters to locate unknown numbers of targets in complex environments — work that has advanced into real-drone experimental validation. His contributions also extend to prosthetics, with underactuated robotic hand designs aimed at improving accessibility for amputees. Collectively, his body of work demonstrates a consistent commitment to bridging theoretical control design with real-world autonomous systems applications.
Research Focus
Key Achievements
Top Papers
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- 3Exploration-Based Search for an Unknown Number of Targets using a UAV8 citations · 2022
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