Jessica Chan Zhai Yan

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About

Jessica Chan Zhai Yan is a robotics and computer vision researcher whose work bridges autonomous systems and real-time environmental perception. Her most-cited paper, "A vision-based autonomous vehicle tracking robot platform" (2014, 7 citations), introduces a pioneering design where a front-mounted video camera captures surroundings for live monitoring and tracking, with image processing executed in MATLAB to generate control decisions. This contribution lays foundational groundwork for integrating vision-driven navigation in mobile robotics, emphasizing low-cost, efficient solutions for autonomous tracking. Beyond this key work, Chan’s research explores the intersection of embedded systems, sensor fusion, and intelligent control, aiming to enhance robot autonomy in dynamic environments. Her platform demonstrates practical applications in surveillance, logistics, and assistive technologies, earning recognition for its clarity and reproducibility among peers. With a focus on scalable vision algorithms and hardware-software co-design, Chan continues to advance accessible robotics solutions, inspiring students and researchers to explore vision-based autonomous systems. Her work underscores the potential of combining classical image processing with modern robotics, making her a notable contributor to the field’s evolution.