Yujia Fu

Shanghai Jiao Tong University, Nanjing University of Posts and Telecommunications

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About

Yujia Fu is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and path planning for unstructured and dynamic environments. Her most impactful work, "BotanicGarden: A High-Quality Dataset for Robot Navigation in Unstructured Natural Environments" (2024), has already garnered 44 citations, providing the robotics community with a critical benchmark for testing sensor odometry and SLAM in complex, vegetation-rich settings—a domain often overlooked by urban-focused datasets. Fu also advanced robotic path planning with her "Improved Heuristic RRT* Algorithm" for soccer robots in the RoboCup Standard Platform League, enhancing search efficiency and goal-directedness. Her comprehensive survey on datasets and evaluation metrics for SLAM-related problems (2021) serves as a foundational reference, cataloging challenges from self-driving cars to augmented reality. Through these contributions, Fu bridges the gap between controlled lab environments and real-world natural terrains, empowering more robust and adaptable autonomous systems.