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About

Gabriela M. Andaluz is a robotics and control systems researcher whose work centers on mobile robotics, aerial manipulators, and multi-robot systems. Her research consistently tackles some of the most challenging problems in autonomous robotics, including formation control, teleoperation, and trajectory tracking in complex, obstacle-laden environments. Andaluz has made significant contributions through the development of advanced control strategies, most notably combining null space-based (NSB) frameworks with consensus algorithms, sliding mode control (SMC), and the innovative LAMDA learning algorithm. Her 2022 paper on hybrid formation control for mobile robots (14 citations) addresses critical scalability limitations in multi-robot coordination, while her 2024 work on aerial manipulator control (13 citations) introduces cascaded minimum-norm controllers capable of solving diverse motion tasks simultaneously. Her earlier LAMDA-based trajectory tracking research (10 citations) demonstrated the viability of machine learning-inspired control for aerial platforms. A recurring theme across her portfolio is bridging theoretical control design with practical robustness — whether through haptic teleoperation with force feedback or dynamic compensation using numerical methods. With over 59 cumulative citations spanning foundational and emerging topics, Andaluz's work offers valuable frameworks for researchers and students pursuing intelligent, scalable robotics solutions in real-world environments.