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About

Serin Lee is a pioneering researcher whose work spans tactile sensing, bio-robotics, and computer vision, with a particular focus on creating intelligent systems that bridge the gap between biological and artificial agents. Her most impactful contribution is the development of a pressure-insensitive strain sensor using a facile solution-based process, published in 2018 and cited over 219 times, which enables tactile sensing systems to mechanically decouple and differentiate various inputs—a critical step toward mimicking human skin. Lee’s research also extends into animal-robot interfaces, where she has explored remote guidance of untrained turtles by controlling their voluntary instinct behavior, and developed parasitic robot systems for waypoint navigation, demonstrating novel approaches to bio-hybrid control. In computer vision, she has advanced deep learning-based optical flow by introducing fast uncertainty estimation methods, addressing a key challenge for mission-critical robotics applications. Her work on visual altitude control in flying Drosophila (91 citations) further showcases her versatility in understanding biological systems. Lee’s interdisciplinary contributions—from soft sensors to animal-robot interaction—highlight her commitment to developing robust, bio-inspired technologies with real-world impact.