Yijing Xu

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About

Yijing Xu is a rising leader in embodied intelligence and human-robot interaction, whose work bridges soft robotics, haptics, and adaptive perception. Her research centers on developing programmable robotic skins and self-adaptive feedback systems that enable robots to sense, learn, and respond to their environments with unprecedented sophistication. In her highly cited 2024 paper, “Alterable Robotic Skin Using Material Gene Expression Modulation” (40 citations), Xu introduced a novel framework for robotic skins that integrate tactile sensing while balancing versatility and sustainability—a critical step toward more natural human-robot interaction. Her 2025 work, “Highly Programmable Haptic Decoding and Self‐Adaptive Spatiotemporal Feedback Toward Embodied Intelligence” (35 citations), further advances the field by creating systems that decode touch and deliver real-time feedback, allowing robots to perform complex tasks with enhanced autonomy and precision. Together, these contributions have positioned Xu at the forefront of next-generation robotics, where her innovations in haptic decoding and material intelligence promise to redefine how machines perceive and interact with the physical world. Her work is already shaping the trajectory of embodied AI and soft robotics.