Kemala Dewi

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About

Kemala Dewi is a robotics and control systems researcher whose work focuses on the motion control and navigation of mobile robots, particularly differential-drive and non-holonomic systems. Her research addresses the fundamental challenge of minimizing positional and postural errors as mobile robots navigate between target destinations — a critical problem in autonomous robotics applications. In her highly cited 2017 paper on differential-drive mobile robot control, Dewi proposed a linear feedback control law that offers an elegant yet effective solution to trajectory tracking errors, earning 15 citations from the research community. Complementing this work, her equally influential study on non-holonomic mobile robot posture accuracy introduced an adaptive tuning approach using variable universes of discourse, successfully driving position and orientation errors in x(t), y(t), and θ(t) toward desired values — accumulating 13 citations since publication. Together, these contributions demonstrate Dewi's commitment to developing practical, mathematically grounded control strategies that enhance robotic precision and reliability. Her work sits at the intersection of classical control theory and intelligent systems, making it valuable reading for students and engineers working on autonomous ground vehicle navigation and robotic control design.