Roxana Both

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About

Roxana Both is a robotics researcher whose work focuses on the critical intersection of perception, guidance, and safety for autonomous mobile systems. Her key research areas include sensor fusion, obstacle detection, and the development of robust navigation frameworks. Her most notable contribution, the 2020 paper "Guidance and safety systems for mobile robots," has garnered 4 citations and presents a pioneering data fusion approach that integrates Camera and LiDAR sensors. By intelligently combining the strengths of both sensors—LiDAR’s precise depth mapping and the camera’s rich visual context—Both’s solution overcomes individual sensor limitations to achieve more reliable and comprehensive obstacle detection. This work is foundational for enhancing the safety and autonomy of mobile robots in dynamic environments, directly addressing a core challenge in the field. Her research is particularly valuable for students and engineers seeking practical, sensor-fusion strategies to improve robotic perception and decision-making, marking her as a thoughtful contributor to advancing safe, real-world robot navigation.