Xiaoyun Yin
Papers
3
Total Citations
8
H-Index
2
About
Xiaoyun Yin is a pioneering researcher at the forefront of human-machine teaming (HMT) for deep-space exploration. Her work addresses the critical challenge of coordinating humans, robots, and AI agents across vast distances, where communication delays and operational uncertainty threaten mission success. Yin’s key contributions include developing novel methods for **perturbation detection**—identifying unexpected disruptions in multi-agent systems—and observing **resilient performance** through digital technologies. Her most cited paper (2024, 4 citations) establishes a framework for detecting unique HMT challenges in space, while her **Distributed Teaming Testbed** (2025) simulates complex coordination across Earth, Moon, and Mars environments, enabling researchers to test collaboration under realistic latency and uncertainty. By bridging cognitive engineering and space systems, Yin’s work directly supports future long-duration missions where autonomous teams must adapt without real-time ground control. Her research is foundational for designing robust, fault-tolerant human-machine systems that can withstand the unpredictable conditions of interplanetary travel.
Research Focus
Key Achievements
Top Papers
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