Max Robotics — Global Service Robot Directory + US Certification

About

Zuria Bauer is a pioneering researcher at the intersection of social robotics, assistive technology, and 3D perception, whose work focuses on making robots more intelligent, adaptive, and useful for vulnerable populations. Her most impactful contribution is the development of "Geoffrey," an automated schedule system deployed on a social robot designed specifically for intellectually challenged individuals and the elderly—a project that has garnered 11 citations and addresses the critical need for autonomous caregiving support. Bauer has also made significant strides in improving robotic perception, particularly through her work on enhancing the Pepper robot's 3D vision by fusing monocular depth prediction with sensor data (7 citations), enabling more reliable navigation and interaction in real-world environments. Her research extends to dynamic scene understanding, as evidenced by her 2025 paper on tracking changes in 3D dynamic scene graphs, and to human-robot interaction via mixed reality with "HoloSpot." With a portfolio spanning convolutional neural networks for adaptive learning, semantic localization in homes, and deep learning systems for brain injury patient integration (COMBAHO), Bauer's work consistently bridges cutting-edge AI with tangible societal benefit, establishing her as a leader in creating robots that can perceive, learn, and assist in complex, real-world settings.