Huayu Wu

Institute for Infocomm Research, National Cheng Kung University

Papers

Total Citations

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About

Huayu Wu is a researcher in multi-robot systems and autonomous decision-making, with a focus on collaborative robotics and scheduling optimization. Her major contributions lie in developing frameworks that enable robot teams to operate efficiently and learn from one another in dynamic environments. In her highly cited work, "Mobile Robot Scheduling with Multiple Trips and Time Windows" (2017, 6 citations), Wu advanced the field of logistics and task allocation by addressing complex scheduling constraints that allow mobile robots to handle multiple trips within strict time windows—a critical challenge for real-world warehouse and service robotics. Her earlier paper, "Reciprocal Learning for Robot Peers" (2016, 2 citations), introduced an innovative system where robot peers not only cooperate to complete difficult tasks but also actively help each other improve their individual learning. In this framework, each robot retains independent decision-making ability while engaging in communal knowledge transfer, blending autonomy with collaboration. Wu’s work is notable for bridging theoretical scheduling models with practical, peer-based learning mechanisms, offering scalable solutions for heterogeneous robot teams. Her research continues to inspire advances in cooperative robotics and intelligent automation.