Yu-Yen Huang

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Dr. Yu-Yen Huang is a leading roboticist whose work bridges multi-robot coordination, autonomous navigation, and human-robot interaction. Her research focuses on deploying heterogeneous robot teams—combining unmanned ground vehicles with aerial blimps—for critical missions like subterranean search and rescue. In her most-cited work (2022, 20 citations), she developed a data-driven autonomy and communication-aware navigation framework enabling these diverse robots to collaboratively explore unknown, GPS-denied environments, significantly improving rescue efficiency in disaster scenarios. Dr. Huang also advances service robotics through her work on Federated Visual Grasping Learning for Human-Robot Handovers (2023, 11 citations), where she pioneered a privacy-preserving, federated learning approach that allows robots to learn robust, object-agnostic grasping policies across distributed healthcare settings. This innovation enhances robots' ability to safely and adaptively hand over objects to humans, a critical capability for logistical support in hospitals. Her contributions are shaping the future of autonomous systems in unstructured, safety-critical environments, making her a notable figure in field and service robotics.