Xiangwei Wu

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About

Xiangwei Wu is a researcher at the forefront of integrating virtual reality (VR) and embedded systems for real-world disaster response. His work centers on the design and development of intelligent robotic platforms, with a particular emphasis on leveraging FPGA technology and sensor fusion for critical detection tasks. In his most cited work, "Design of disaster detection robot vehicle model based on VR technology" (2020, 2 citations), Wu engineered a sophisticated robot car model that combines camera sensors, wireless transmission, and motor control. This system enables real-time mode parameter configuration, image data acquisition, and efficient storage via SDRAM, allowing operators to navigate hazardous environments remotely through a VR interface. By bridging the gap between immersive simulation and physical robotics, Wu’s contributions offer a safer, more effective approach to search-and-rescue operations. His research demonstrates a clear commitment to applying cutting-edge hardware-software co-design to solve pressing societal challenges, making him a notable innovator in the fields of disaster robotics and VR-assisted automation.