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About

Di Guo is a multidisciplinary researcher whose work bridges robotics, human-machine interaction, and advanced sensing technologies. His research spans two compelling frontiers: embodied artificial intelligence for autonomous robots and bioinspired electronic skin systems for healthcare and robotic applications. In the domain of robotics and AI, Guo has made notable contributions to embodied multi-agent task planning, addressing the fundamental challenge of how robots interpret ambiguous human instructions in collaborative settings. His work on vision-and-language navigation further advances embodied agents' ability to follow natural language directions through complex environments, while his research on competition-driven robot learning explores novel motivational frameworks for enhancing robotic performance. On the sensing technology front, Guo has contributed to groundbreaking developments in multifunctional electronic skins capable of operating in harsh environments — including high temperatures, underwater conditions, and corrosive settings — alongside nanonewton-scale biomimetic mechanosensors with exceptional detection resolution. These innovations hold significant promise for prosthetics, healthcare monitoring, and human-machine interfaces. With papers accumulating over 70 citations across publications in prominent venues, Guo's cross-disciplinary approach positions him as an emerging voice at the intersection of intelligent robotics and advanced biomimetic sensing — fields increasingly central to the future of human-robot collaboration.