Runxiang Jin

Vaughn College of Aeronautics and Technology, Kent State University

Papers

Total Citations

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About

Runxiang Jin is pioneering the frontier of intuitive human-robot interaction, focusing on how natural language and gesture-based commands can bridge the gap between complex robotic systems and their human operators. His major contributions lie in making multi-agent systems—from collaborative robots to swarms of unmanned aerial vehicles (UAVs)—more accessible and efficient through natural communication modalities. In his highly cited 2024 review, Jin systematically analyzed the landscape of natural-language-instructed robot execution (NLexe), demonstrating how verbal commands can replace cumbersome programming in manufacturing, daily assistance, and healthcare settings. Complementing this work, he developed HGIC, a hand gesture-based interactive control system that dramatically reduces the cognitive load on operators managing multi-UAV teams, enabling scalable and intuitive fleet coordination. With his research already garnering early citations and shaping the discourse on human-robot collaboration, Jin is establishing himself as a leading voice in creating robotic systems that understand us as naturally as we understand each other.