Elvira Rafikova

Universidade Federal do ABC, Universidade Estadual de Campinas (UNICAMP)

Papers

Total Citations

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About

Elvira Rafikova is a pioneering researcher in mobile robotics and autonomous systems, with a primary focus on trajectory control, navigation, and human-robot interaction. Her most influential work, "Optimal Control of an Underwater Glider Vehicle" (2017, 29 citations), addresses the critical challenge of trajectory control for a new class of autonomous underwater vehicles (AUVs) that replace traditional thrusters with buoyancy-based propulsion. This contribution is foundational for energy-efficient ocean exploration and long-duration underwater missions. Rafikova has also advanced the field of augmented reality (AR) in robotics, as demonstrated in her 2023 paper (5 citations), which explores immersive mobile robot simulation and trajectory estimation for Industry 4.0 applications. Her innovative research extends to nonlinear dynamics, where she proposed a novel method for synchronizing mobile robots to chaotic trajectories (2016, 3 citations), enabling unpredictable yet controllable motion patterns. Earlier work on linear and nonlinear tracking strategies for wheeled mobile robots (2009, 2 citations) established her expertise in control theory, comparing time-varying feedback with state-dependent Riccati equation methods. Rafikova’s interdisciplinary approach bridges control engineering, computer vision, and emerging AR technologies, making her a notable contributor to the next generation of intelligent, autonomous robotic systems.