Yue Xiong

Papers

Total Citations

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About

Yue Xiong is a researcher whose work bridges human-robot interaction and gesture-based control systems. Their most cited paper, "Detecting Deictic Gestures for Control of Mobile Robots" (2016), introduces a novel approach to interpreting natural pointing gestures as commands for autonomous navigation. This contribution addresses a critical challenge in robotics: enabling intuitive, non-verbal communication between humans and machines. By developing algorithms that detect and classify deictic gestures—such as pointing to indicate direction or location—Xiong’s research enhances the accessibility and efficiency of mobile robot control, particularly in dynamic environments like warehouses or assistive settings. While their citation count is modest (2 citations for this key work), the study’s focus on real-time gesture recognition and its integration with robotic platforms demonstrates a practical impact on human-robot collaboration. Xiong’s work contributes to the broader field of multimodal interaction, where gesture, speech, and vision converge to create more natural interfaces. Their research holds promise for applications in service robotics, autonomous vehicles, and assistive technologies, highlighting a commitment to making robots more responsive to human intent.