Suming Qiu

Papers

Total Citations

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About

Suming Qiu is a leading researcher in cyber-physical systems and human-autonomous teaming, with a focus on developing testbeds that bridge the gap between simulation and real-world experimentation. Their most cited work, “RealTHASC—a cyber-physical XR testbed for AI-supported real-time human autonomous systems collaborations” (2023), introduces a novel extended reality (XR) platform that enables rigorous testing of AI algorithms for perception and decision-making in complex, human-robot collaboration scenarios. This testbed addresses a critical challenge in the field: the lack of detailed ground truth data in field experiments, providing a controlled yet realistic environment for advancing human-autonomous systems research. With 5 citations since its publication, Qiu’s work is gaining traction among researchers seeking to validate AI-driven interactions in dynamic settings. Their contributions are particularly notable for integrating cyber-physical systems with XR to create reproducible, high-fidelity testbeds, a key step toward safer and more reliable autonomous systems. Qiu’s research is shaping the future of human-robot teaming, offering tools that accelerate the development of AI for real-time, collaborative decision-making.