Zhao Gan

Wuhan University of Science and Technology

Papers

Total Citations

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About

Zhao Gan is a researcher in artificial intelligence, with a focus on human-computer interaction and intelligent navigation systems. His work explores how machines can interpret and respond to natural human inputs, particularly through gesture and speech recognition. His most-cited paper, "Artificial robot navigation based on gesture and speech recognition" (2014), with 11 citations, presents a novel approach to controlling robotic movement by combining multimodal communication channels. This research demonstrates how integrating spoken commands with physical gestures can create more intuitive and accessible control interfaces for autonomous systems. By enabling robots to understand and act upon human instructions in real time, Gan’s contributions address key challenges in making artificial intelligence more responsive and user-friendly. His work sits at the intersection of robotics, sensor fusion, and natural language processing, offering practical pathways for developing smarter, more interactive machines. For students and researchers exploring how AI can bridge the gap between human intent and machine action, Zhao Gan’s research provides a foundational example of applied human-computer interaction in robotic navigation.