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About

Ying Cui is a pioneering researcher in mobile robotics, best known for transformative contributions to motion planning and autonomous navigation. Her work centers on solving fundamental challenges in robot path planning, particularly the "goals unreachable with obstacles nearby" problem in potential field methods. Her landmark 2000 paper, which introduced novel repulsive potential functions that incorporate relative distance to the goal, has garnered 847 citations and remains a cornerstone in the field. This was followed by her highly influential 2002 study on dynamic motion planning using potential fields (785 citations), which further advanced real-time robot navigation. Cui also made significant contributions to autonomous vehicle positioning in GPS-denied environments, such as urban canyons, and developed instant-goal-driven methods for behavior-based navigation. Her research has had profound impact on both theoretical foundations and practical applications in robotics, with her citation counts reflecting the enduring relevance of her work. Through her innovative approaches to obstacle avoidance and goal-directed behavior, Ying Cui has shaped how mobile robots perceive and move through complex environments, inspiring generations of researchers in autonomous systems.