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About

Florica Moldoveanu’s research lies at the intersection of computer vision, robotics, and healthcare technology, with a focus on indoor localization, neuromotor rehabilitation, and autonomous navigation. Her most cited work, a comprehensive survey on computer vision-based indoor localization (176 citations), provides a foundational taxonomy of methods using static cameras for tracking mobile entities versus onboard cameras for self-localization—a critical resource for robotics and IoT applications. She led the TRAVEE system project (33 citations), a multimodal neuromotor rehabilitation platform that integrates virtual reality and sensor feedback to aid stroke survivors, addressing a pressing global healthcare need. Moldoveanu also contributed to real-time collision avoidance for redundant manipulators, Kinect depth inpainting for assistive technologies, and multiagent surveillance systems using fuzzy control. Her work on VR-based neurorehabilitation and mobile robot navigation in unknown environments demonstrates a consistent drive to translate computer vision into practical, human-centered solutions. With over 240 total citations across her publications, Moldoveanu’s research has shaped both theoretical frameworks and applied systems in rehabilitation robotics and autonomous navigation, making her a notable figure in the field.