Junxian Li

Zhejiang University of Science and Technology, Northwestern Polytechnical University

Papers

Total Citations

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About

Junxian Li is a rising researcher at the intersection of human-computer interaction, shape-changing interfaces, and machine learning-driven automation. Their work is defined by a commitment to democratizing complex technologies—making advanced robotics and interface testing accessible to novices and automated systems alike. Li’s most prominent contribution is **MiuraKit**, a modular, hands-on construction kit for pneumatic shape-changing and robotic interfaces. This work, published in 2023, directly addresses a critical barrier in the field: the steep fabrication and technical skills required to build deployable or robotic structures. By enabling immediate, tangible exploration for novice users, MiuraKit opens up rapid prototyping in soft robotics and dynamic interfaces. In parallel, Li has explored the foundational layer of GUI automation, developing a machine learning-based method for recognizing interface elements in mobile applications. This research, from 2021, supports the growing need for robust, automated testing of mobile interfaces by robots. While early in their career, Li’s work demonstrates a clear trajectory toward lowering technical thresholds—whether for human builders or automated agents—with MiuraKit already garnering 10 citations and signaling significant impact in the shape-changing and HCI communities.