Jane Wu

Papers

Total Citations

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About

Jane Wu is a multidisciplinary robotics researcher whose work bridges autonomous underwater systems, human-robot interaction, and decision-making frameworks. Her most recognized contribution, "Intelligent Shipwreck Search Using Autonomous Underwater Vehicles" (2018, 23 citations), showcases her expertise in applying artificial intelligence to real-world exploration challenges. By developing a sophisticated multi-step pipeline for Autonomous Underwater Vehicles (AUVs), Wu advanced the field of underwater archaeological discovery, enabling robots to autonomously detect and geo-localize submerged historical sites with remarkable efficiency. Equally compelling is Wu's sustained investigation into the dynamics of human-robot trust. Through two complementary studies published in 2016 — earning a combined 22 citations — she employed game-theoretic frameworks, including innovative coin entrustment experiments, to rigorously examine how humans make decisions when interacting with robotic versus human agents. This research has meaningful implications for designing robots that people can genuinely rely upon in collaborative settings. Across her body of work, Wu demonstrates a rare ability to connect theoretical models with practical applications, from deep-sea exploration to everyday human-robot cooperation. Her research offers valuable foundations for students and engineers working to build more trustworthy and capable autonomous systems.