Ali Keymasi Khalaji

K.N.Toosi University of Technology, Kharazmi University

Papers

33

Total Citations

786

H-Index

15

About

Ali Keymasi Khalaji is a prominent robotics and control systems researcher whose work has fundamentally advanced the field of nonholonomic wheeled mobile robots, particularly tractor-trailer systems. His research focuses on nonlinear control theory, adaptive and robust control, underactuated systems, and autonomous mobile robotics — areas where he has built an internationally recognized body of work. Khalaji's most celebrated contribution is his development of sophisticated control frameworks for tractor-trailer wheeled robots (TTWRs), highly complex nonlinear systems subject to nonholonomic constraints. His 2013 paper introducing a robust adaptive controller for TTWRs has garnered over 166 citations, establishing a foundational reference in the field. He further expanded this work through adaptive sliding mode control, PID-based tracking, and backstepping approaches for systems experiencing wheel slip and model uncertainty, collectively accumulating hundreds of citations. Beyond wheeled robots, Khalaji has demonstrated remarkable breadth, extending his expertise to Lyapunov-based formation control of autonomous underwater vehicles and cable-driven rehabilitation robotics, reflecting both theoretical rigor and real-world application. His work on modeling cars with multiple trailers has also shaped how researchers approach complex articulated vehicle dynamics. With a cumulative citation record exceeding 550 across his top publications, Khalaji represents a leading voice in robust, adaptive control for next-generation autonomous and assistive robotic systems.

Research Focus

Key Achievements

15
H-Index
33
Papers
786
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robust Adaptive Controller for a Tractor–Trailer Mobile Robot
166 citations · 2013
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: K.N.Toosi University of Technology, Kharazmi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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