Max Robotics — Global Service Robot Directory + US Certification

About

Qingjin Wei is a robotics researcher whose work bridges intelligent navigation, smart systems, and control theory. His primary research areas include indoor mobile robot positioning, RFID-based navigation, and fuzzy control systems. Wei’s most significant contribution is the development of an RFID-based indoor mobile robot navigation method, which uses a double positioning algorithm to improve auto-positioning and orientation accuracy—a critical advancement for autonomous robots in GPS-denied environments. This work, published in 2019, has garnered 9 citations, reflecting its relevance to the robotics community. He also designed a Smart Things Robot System (2013, 6 citations) that integrates PC browser clients with WiFi and ZigBee routing, showcasing his ability to create interconnected robotic platforms. In 2024, Wei extended his expertise to control theory with a study on quantized event-triggered finite-time H∞ control for interval type-2 fuzzy Markov jump systems with random coupling delays, demonstrating versatility in tackling complex dynamic systems. Additionally, his work on an intelligent glass-wiping robot (2020) highlights a practical application of his design skills. Wei’s research consistently addresses real-world challenges in automation and control, making him a notable figure in robotics and systems engineering.