Yuangan Li

Papers

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About

Yuangan Li is a researcher at the forefront of human-robot interaction (HRI), with a primary focus on developing intuitive and reliable communication channels between humans and machines. Their key research areas encompass gesture recognition, inertial measurement unit (IMU) signal processing, and emergency response systems for autonomous robots. Li’s major contribution lies in pioneering continuous hand gesture detection and recognition methods that enable seamless, non-verbal command transmission in critical scenarios, such as emergency interventions with delivery robots and self-driving buses. Their most-cited work, "Continuous Hand Gestures Detection and Recognition in Emergency Human-Robot Interaction Based on the Inertial Measurement Unit" (2024), has already garnered 11 citations, underscoring its timely relevance to the growing field of social robotics. This research addresses a vital gap in HRI by allowing users to convey decision commands without physical contact or voice, which is especially crucial in noisy or high-stakes environments. Li’s work not only advances the technical robustness of gesture-based interfaces but also enhances safety and accessibility in human-robot collaboration, marking a significant step toward more responsive and user-friendly autonomous systems.