Zeqi Wu

Papers

Total Citations

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About

Zeqi Wu is a robotics researcher whose work bridges autonomous navigation, thermal imaging, and intelligent control systems. His primary research areas include fire reconnaissance robotics, SLAM (Simultaneous Localization and Mapping) positioning, and adaptive control for robotic manipulators. Wu’s most notable contribution is the development of a fire reconnaissance robot that integrates SLAM-based localization, thermal imaging technologies, and augmented reality (AR) displays—a system designed to operate in hazardous environments where toxic smoke and extreme heat pose lethal risks to human firefighters. This work, published in 2019 and cited 25 times, provides critical situational awareness by transmitting real-time fire data, thereby reducing casualties and improving emergency response effectiveness. In earlier work, Wu explored adaptive iterative learning control for robot manipulators, addressing torque chattering and time-varying disturbances to improve tracking precision and response speed. Though his citation counts are modest, his applied robotics research demonstrates clear real-world impact, particularly in life-saving firefighting technologies. Wu’s contributions exemplify how robotics can be engineered for high-stakes environments, making him a valuable figure for students interested in practical, mission-driven robotics and control systems.