Pengjiao Li
Papers
1
Total Citations
11
H-Index
1
About
Pengjiao Li is a rising researcher in human-robot interaction (HRI), with a focused expertise in gesture-based control systems for emergency and social robotics. Their most cited work, "Continuous Hand Gestures Detection and Recognition in Emergency Human-Robot Interaction Based on the Inertial Measurement Unit" (2024, 11 citations), addresses a critical gap in real-world HRI: enabling robots—such as delivery bots and autonomous buses—to reliably interpret human hand gestures in urgent, noisy environments. By leveraging inertial measurement units (IMUs), Li developed a continuous gesture recognition framework that enhances safety and responsiveness in social robotics contexts. This contribution is particularly notable for its potential to improve intuitive, non-verbal communication between humans and machines in high-stakes scenarios. While early in their career, Li’s work has already garnered attention for bridging sensor technology with practical HRI challenges, laying groundwork for more adaptive and trustworthy autonomous systems. Their research signals a promising trajectory in making robot interactions more natural, accessible, and resilient under pressure.
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- 1