Yuan-Chih Peng

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About

Yuan-Chih Peng’s research lies at the intersection of robotic manipulation, visual servoing, and sensor-guided assembly, with a particular focus on enabling industrial robots to handle large, complex structures with high precision. His most cited work, “Collaborative manipulation with multiple dual-arm robots under human guidance” (23 citations), explores human-robot collaboration for complex tasks, demonstrating how multiple robotic systems can work in tandem under human oversight. In his highly regarded 2020 study on visual servoing for large structure assembly (12 citations), Peng introduced a method using fiducial markers and robot-mounted cameras to achieve sub-millimeter alignment accuracy for large composite panels, systematically comparing position-based and image-based servoing schemes. His 2021 work on sensor-guided assembly (10 citations) further advanced the field by developing a complete robotic assembly methodology for segmented composite structures, addressing panel localization, transport, and placement through an integrated system of stationary and robot-mounted cameras. Peng’s contributions are particularly significant for aerospace and manufacturing industries, where his techniques enable automated assembly of large-scale components with unprecedented precision. His work has been cited over 45 times, establishing him as a rising expert in industrial robotic assembly and visual servoing.