Keqiu Li

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About

Keqiu Li is a leading researcher in the Internet of Things (IoT), with a focus on RFID sensing, acoustic localization, and robotic perception. Their work bridges the gap between hardware-constrained sensing and real-world applications, particularly in smart libraries and warehousing. Li’s major contributions include the development of **VoiceMap**, an autonomous system for mapping microphone arrays to enable precise voice localization in smart devices—a breakthrough for context-aware acoustic services. They also pioneered a **fusion system combining RFID and computer vision** for mobile robot-assisted book inventory, dramatically improving accuracy over single-sensor approaches. Additionally, Li’s research on **portable camera-augmented RFID readers** enables cost-effective localization of tagged objects on shelves, offering a practical alternative to expensive fixed-antenna or robotic systems. With over 16 citations across their most-cited works, Li’s impact is evident in advancing robust, low-cost sensing for smart environments. Their work has been recognized for its potential to transform inventory management and voice-controlled interfaces, making them a key figure in the evolution of intelligent IoT systems.