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About

Yang-Ting Shen is a pioneering researcher at the intersection of mixed reality (MR), human–robot collaboration, and robotic fabrication in architecture and construction. Their work addresses critical industry challenges such as labor shortages and inefficient construction practices by developing intuitive, interactive systems that enable seamless collaboration between humans and robots. Shen’s major contributions include the creation of a mixed-reality interface for synchronous robot fabrication, allowing real-time, iterative design and construction processes. Their most-cited paper (2023, 6 citations) introduces this MR-based collaborative framework, while subsequent work (2024, 4 citations) advances a human–robot collaboration mode for iterative design, demonstrating how MR can transform traditional bricklaying and construction workflows. Shen has also developed an intuitive teaching-based method for robot-assisted bricklaying design (2022, 3 citations) and explored creative applications such as robotic dance choreography (2023, 2 citations), showcasing the versatility of their human-robot interaction methods. With a growing citation record and a focus on practical, industry-relevant solutions, Shen’s research is shaping the future of intelligent, collaborative construction environments.