Mohammad Tariq Nasir

Applied Science Private University, King Fahd University of Petroleum and Minerals

Papers

Total Citations

126

H-Index

About

Mohammad Tariq Nasir is a leading researcher in robotics and control systems, specializing in motion control, multi-robot coordination, and human-assistive robotics. His work focuses on developing robust and adaptive control strategies for complex robotic platforms, from omnidirectional mobile robots to wheeled inverted pendulums. Nasir’s most cited paper (54 citations) presents an embedded system for motion control of omnidirectional mobile robots, with applications in the RoboCup small-size league, demonstrating his impact in competitive robotics. He further advanced the field with a robust control design for the I-PENTAR human assistant robot (32 citations), addressing non-holonomic constraints and optimal control approaches. His contributions to multi-robot systems are highlighted by an adaptive sliding-mode cluster space controller (18 citations), which ensures robustness to uncertainties and external disturbances, and a behavioral adaptive fuzzy controller (22 citations) for multi-robot clusters. Nasir’s work bridges theoretical control design with practical implementation, making significant strides in autonomous navigation, human-robot interaction, and cooperative robotics. His research is widely cited for its innovative solutions to real-world challenges in mobile robotics and multi-agent systems.