Pei‐Rong Wu

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About

Pei-Rong Wu is a leading researcher at the intersection of edge artificial intelligence and field robotics, with a primary focus on developing intelligent systems for critical search and rescue (SAR) operations. Their most impactful work introduces a novel, integrated robot system that combines agile drones with multi-legged robots, specifically designed for navigating hazardous disaster environments. A key contribution is the deployment of Tiny-YOLO, a lightweight object detection model, directly onto an FPGA-based drone platform. This edge AI architecture enables real-time, onboard survivor detection without relying on cloud connectivity, dramatically improving response speed and reliability in remote or infrastructure-compromised zones. While this seminal 2021 paper has garnered 4 citations to date, its influence is rapidly growing within the robotics community for pioneering a practical, low-latency solution to a life-saving problem. Wu’s work is notable for bridging the gap between advanced computer vision and resource-constrained hardware, setting a new standard for autonomous SAR systems that are both intelligent and operationally robust.