Yuan-Chi Peng

Papers

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About

Yuan-Chi Peng is a robotics researcher whose work centers on the semi-autonomous assembly of large-scale structures, bridging the gap between industrial automation and complex construction tasks. His most-cited paper, "Software Framework for Robot-Assisted Large Structure Assembly" (2018, 7 citations), presents a pioneering framework for integrating industrial robots with multi-sensor systems to enable operator-guided assembly of segmented structures. This work addresses critical challenges in precision, adaptability, and human-robot collaboration for tasks too large or hazardous for manual labor. Peng’s contributions are foundational to advancing robotic construction, where his framework provides a blueprint for scaling automation from factory floors to real-world infrastructure projects. By demonstrating how sensor feedback and human oversight can coexist in semi-autonomous workflows, he has opened new pathways for safer, more efficient assembly processes. Though early in his career, Peng’s research signals a significant shift toward practical, sensor-rich robotics in civil engineering, making him a key figure to watch in the evolution of construction automation.