Hang Cui

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About

Hang Cui is a pioneering researcher at the intersection of expressive robotics, human-robot interaction, and autonomous systems. Their work is distinguished by a unique fusion of movement science and engineering, most notably through the application of the Laban/Bartenieff movement system to aerial robotics. Cui’s landmark 2019 paper on task-constrained variable motion generation for expressive aerial robots (17 citations) introduced an algorithmic method that enables drones to convey emotion and intent through movement, fundamentally expanding the capabilities of non-humanoid robots. In the domain of autonomous driving, Cui made significant contributions to safety-critical systems with a 2020 paper (11 citations) that developed a high-low level controller framework using ROS2, enhancing the reliability of self-driving platforms. Their earlier work on "Carebots" (2016) demonstrated a visionary multidisciplinary approach to elder care, proposing small flying robots that cooperate with older adults through intuitive interfaces to promote independence. Additionally, Cui’s VR-based study of human-multicopter interaction in residential settings pioneered methods for measuring emotional responses to non-humanoid robots, laying groundwork for affective robotics. With a career spanning expressive motion, autonomous safety, and assistive technology, Hang Cui continues to shape how robots move, interact, and care.