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About

Laura Duarte is a leading researcher at the intersection of human-robot collaboration and advanced computer vision, with a focus on transforming manufacturing and assembly processes. Her work centers on integrating event-based vision systems—which detect motion with ultra-low latency and no motion blur—into collaborative robotics. Duarte’s major contributions include developing novel methods for real-time tracking of human hands using event cameras, enabling robots to respond instantly to worker movements without traditional delays. She has also pioneered the classification of primitive manufacturing tasks from filtered event data, allowing robots to understand and adapt to complex assembly operations. Her most-cited paper, “Benchmarking human-robot collaborative assembly tasks” (2024, 15 citations), establishes a framework for evaluating varying levels of automation in assembly, highlighting where human dexterity and robotic precision best complement each other. With over 38 citations across her key works, Duarte’s research is shaping the future of flexible, safe, and efficient human-robot teamwork. Her demonstration of real-time event camera to collaborative robot communication (2024) showcases a practical leap toward seamless, intuitive interaction in industrial settings.