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About

Simona Caraiman is a leading researcher in assistive and rehabilitation technologies, with a focus on computer vision, robotics, and human-computer interaction. Her most impactful work includes the architectural design of TRAVEE, a real-time augmented feedback system for neuromotor rehabilitation (17 citations), which leverages innovative learning concepts to accelerate patient recovery. She has also made significant contributions to assistive navigation for the visually impaired, developing robust ground plane detection and tracking methods using stereo camera orientation (17 citations), a critical component for safe autonomous mobility in unknown environments. In robotics, Caraiman has advanced autonomous indoor drone delivery, addressing the challenges of complex space topology for optimal goods transport (15 citations). Her technical expertise extends to 3D point cloud alignment, where she proposed a tensorial approach to solving the iterative closest point (ICP) problem, improving initial guess estimation for applications in robotics and machine vision. With a portfolio of highly cited work bridging rehabilitation engineering, assistive technology, and autonomous systems, Caraiman’s research demonstrates a clear commitment to developing practical, real-world solutions that enhance human capabilities and quality of life.