Leonardo Amaral Mozelli
Federal University of São João del-Rei, Universidade Federal de Minas Gerais
Papers
6
Total Citations
139
H-Index
4
About
Leonardo Amaral Mozelli is a leading researcher in autonomous robotics and control systems, specializing in the development of robust, intelligent algorithms for unmanned vehicles operating in complex environments. His work bridges aerial, underwater, and ground robotics, with a focus on stability, navigation, and human-robot interaction. Mozelli’s most impactful contribution is his pioneering approach to attitude control for Hybrid Unmanned Aerial Underwater Vehicles, where he introduced a robust switched strategy with global stability—a foundational paper cited 67 times. He has also advanced deep reinforcement learning for robotic navigation, using reward shaping to achieve generalization in cluttered, unknown spaces (39 citations), and developed a simple algebraic criterion for bilateral teleoperation stability under time-varying delays (21 citations). His notable achievements include a vision-based autonomous landing method for micro aerial vehicles on moving targets in 3D space, leveraging augmented reality markers. With a career spanning over a decade, Mozelli’s work has garnered over 139 citations, reflecting his significant impact on the fields of control theory, multi-robot systems, and autonomous navigation.
Research Focus
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Top Papers
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