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About

Jiangtao Gong is a human-computer interaction researcher whose work sits at the intersection of assistive robotics, affective computing, and immersive technologies. His most recognized contributions focus on designing and evaluating robotic systems for blind and low vision (BLV) individuals, most notably through pioneering investigations into guiding robots — exploring whether quadruped robots, robotic canes, or autonomous vehicles can effectively serve as guide dog alternatives. His 2023 paper on autonomy levels in guiding robots has already garnered 29 citations, reflecting strong community interest in this underexplored design space. Beyond accessibility, Gong has made notable strides in affective touch for human-robot interaction, developing biomimetic sensing systems that allow robots to perceive and respond to natural human tactile gestures. His research also spans telepresence robotics, STEM education through tangible twin robot systems, and virtual-real fusion interaction — a multidisciplinary area bridging cognitive psychology, virtual reality, and perceptual computing. With a growing body of work spanning assistive technology, embodied interaction, and collaborative robotics, Gong's research consistently centers underserved user populations and real-world applicability, making him an increasingly influential voice in accessible and human-centered robotics design.