Papers
11
Total Citations
189
H-Index
5
About
Yi Cai is an innovative researcher working at the intersection of advanced manufacturing, robotics, and digital twin technologies. His work spans several dynamic domains including additive manufacturing, augmented reality (AR)-enhanced systems, human-robot interaction, autonomous surface robotics, and wearable sensing technologies. Cai's most impactful contribution, "Using Augmented Reality to Build Digital Twin for Reconfigurable Additive Manufacturing Systems" (2020), has garnered over 112 citations, establishing him as a leading voice in merging AR visualization with digital twin frameworks for smart manufacturing. This foundational work has been extended through subsequent research exploring AR-enhanced human-robot collaboration and reconfigurable soft robotic systems, demonstrating a consistent commitment to making complex manufacturing environments more intuitive and adaptive. Beyond digital twins, Cai has made meaningful contributions to multi-robot toolpath planning, TIG welding penetration prediction using deep learning and semantic segmentation, and the stability modeling of autonomous surface manipulator systems — platforms capable of performing precision tasks on open water. His aerosol jet printing research further showcases his breadth, advancing capacitive strain sensors for wearable human motion monitoring. With a growing publication record and steadily accumulating citations across diverse topics, Cai represents an emerging interdisciplinary force shaping the future of intelligent manufacturing and autonomous robotics.
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