Haining Wu

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About

Haining Wu is a leading researcher in robotics and autonomous navigation, with a particular focus on the Navigation Among Movable Obstacles (NAMO) problem. Wu’s seminal 2010 paper, “Navigation Among Movable Obstacles in Unknown Environments,” has garnered 42 citations and fundamentally advanced how robots interact with dynamic, unstructured spaces. In this work, Wu addressed the realistic challenge of guiding a robot to a goal through environments containing both static and movable objects, where the robot must intelligently decide when to manipulate obstacles rather than simply avoid them. This contribution bridges the gap between theoretical motion planning and practical deployment in cluttered, unknown settings—a critical step for service robots, search-and-rescue operations, and autonomous warehouses. Wu’s research demonstrates a deep understanding of the interplay between perception, decision-making, and physical interaction, offering algorithms that enable robots to reason about object movability in real time. By tackling the NAMO problem in unknown environments, Wu has provided a foundational framework that continues to influence subsequent work in mobile manipulation and adaptive navigation, marking them as a key innovator in the field.