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About

Ines Jmel is a control systems researcher whose work centers on the design of advanced estimation and control strategies for underactuated robotic systems, with a particular focus on two-wheeled self-balancing robots. Her research addresses some of the most persistent challenges in mobile robotics, including unknown system parameters, unmeasured states, terrain inclination, and external disturbances — conditions that render conventional control approaches inadequate. Jmel's most significant contributions lie in the development of adaptive observers capable of simultaneously estimating unmeasured states and unknown parameters, such as a robot's varying center of mass. Her 2021 paper, her most cited work with 12 citations, integrates an adaptive high-gain observer with sliding mode control to deliver robust output feedback under real-world terrain disturbances — a meaningful step toward deploying self-balancing robots in practical environments. Her earlier work progressively built this framework, beginning with high-gain state feedback controllers and PID-based adaptive observer designs, before culminating in fully integrated output feedback architectures. Across her publications, Jmel has accumulated over 24 citations, reflecting growing recognition of her contributions. Her research offers valuable theoretical foundations and practical tools for engineers and researchers working on autonomous mobile platforms and nonlinear control systems.