Jiahui Fu

Papers

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About

Jiahui Fu is a robotics researcher whose work focuses on advancing simultaneous localization and mapping (SLAM) and long-term environmental understanding for autonomous systems. Her key research areas include object-based SLAM, dense mapping, and change detection in dynamic environments. Fu’s most notable contribution is her multi-hypothesis approach to resolving pose ambiguity in object-based SLAM, where she addresses the critical challenge of object shape symmetries that can mislead robotic perception. This work, published in 2021, has garnered 19 citations and provides a robust framework for using 6D object poses as compact landmark representations—a capability essential for downstream planning and manipulation tasks. In her 2022 paper on PlaneSDF-based change detection, Fu tackles the problem of long-term dense mapping by enabling robots to detect environmental changes across multiple mapping sessions, even with only 5 citations to date, this work demonstrates her commitment to practical, conflict-free map management for autonomous agents operating over extended periods. Fu’s research bridges theoretical rigor with real-world applicability, making her a rising figure in the SLAM community.