Papers
2
Total Citations
26
H-Index
2
About
Xiaotong Shi is a leading researcher in the fields of edge intelligence, heterogeneous multi-robot networks, and the Tactile Internet. His work focuses on enabling high-quality collaboration among robots in harsh environments by addressing critical communication and intelligence challenges. Shi’s most-cited paper, “Edge Intelligence Enabled Heterogeneous Multi-Robot Networks: Hybrid Framework, Communication Issues, and Potential Solutions” (2022, 16 citations), proposes a novel hybrid framework that integrates edge computing with multi-robot systems to enhance real-time decision-making and resilience. He also introduced the “MDTW Metric: A Signal Matching Yardstick for Accurately Evaluating the Quality of Tactile Internet” (2024, 10 citations), a groundbreaking signal-matching yardstick that provides unprecedented accuracy in measuring the quality of Tactile Internet applications—essential for advancing skill delivery networks. By tackling the fundamental problem of how to quantify human-robot interaction fidelity, Shi’s work has significant implications for teleoperation, remote surgery, and industrial automation. His contributions are shaping the future of intelligent, connected robotic systems and are widely cited by researchers in communications and robotics.
Research Focus
Key Achievements
Top Papers
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