Fangbo Zhou

Papers

Total Citations

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About

Fangbo Zhou is a robotics researcher whose work focuses on enabling household robots to intelligently navigate and interact with dynamic indoor environments. His primary research areas include autonomous navigation, long-term object search, and path planning for mobile robots. Zhou’s most notable contribution is his work on long-term object search using incremental scene graph updating, which addresses the critical challenge of finding movable objects—like cups or remote controls—that change location over time. By developing a system that continuously updates the robot’s internal scene representation, his approach allows robots to efficiently locate targets even in cluttered, evolving spaces. This paper has garnered 16 citations, reflecting its relevance to advancing practical home robotics. Additionally, Zhou has contributed to path planning by designing a compound algorithm that integrates Dijkstra’s algorithm for initial route calculation with ant colony optimization for refinement, improving navigation efficiency in complex environments. His research bridges the gap between static mapping and real-world adaptability, making him a key voice in developing robots that can truly assist in daily household tasks.