Wei-Kai Chan

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About

Wei-Kai Chan is a researcher in robotics and intelligent surveillance systems, with a focus on cooperative perception and autonomous navigation. His most influential work, "Cooperative Surveillance System with Fixed Camera Object Localization and Mobile Robot Target Tracking" (2009), has garnered 9 citations, establishing a foundational approach to integrating static and mobile sensing platforms. Chan's key contributions lie in developing algorithms that enable fixed cameras to accurately localize objects while coordinating with mobile robots for dynamic target tracking—a critical advancement for real-world surveillance and search-and-rescue operations. By bridging the gap between stationary and mobile sensors, his research enhances system robustness and adaptability in cluttered environments. This work has been cited in studies on multi-robot coordination and sensor fusion, reflecting its impact on practical robotics applications. Chan's achievements demonstrate a commitment to solving complex perception and control challenges, making his research a valuable resource for students and engineers exploring cooperative autonomous systems.