Shiwen Zhou
Papers
3
Total Citations
8
H-Index
2
About
Shiwen Zhou is pioneering the study of human-machine teaming (HMT) for deep-space exploration, addressing the unprecedented coordination challenges posed by vast distances and communication delays. Her research focuses on detecting and managing "perturbations"—unexpected disruptions in distributed teams of humans, robots, and AI agents operating across Earth, Moon, and Mars environments. Zhou’s most cited work (2024, 4 citations) introduces novel frameworks for identifying these unique challenges in space-based HMTs, while her subsequent studies on resilient performance (2024, 3 citations) demonstrate how digital technologies can sustain mission effectiveness under stress. Her latest contribution (2025, 1 citation) presents a Distributed Teaming Testbed that simulates multi-agent space missions, providing a critical experimental platform for future interplanetary operations. By bridging aerospace engineering with cognitive systems research, Zhou is laying the groundwork for resilient, adaptive human-machine collaboration in humanity’s most ambitious frontier. Her work is essential reading for researchers tackling the intersection of autonomous systems, team cognition, and extreme-environment operations.
Research Focus
Key Achievements
Top Papers
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