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About

Yufei Yuan is a researcher whose work spans two distinct yet impactful domains: warehouse robotics automation and mobile health informatics. Yuan is best known for pioneering contributions to Robotic Mobile Fulfillment Systems (RMFSs), where intelligent algorithms coordinate rack-moving robots across complex warehouse environments. His 2021 paper on order picking optimization with mobile robots and multiple workstations—cited 67 times—introduced an integrated model for sequencing orders and racks simultaneously, achieving a remarkable 62% reduction in rack movements while balancing workloads and eliminating inter-workstation conflicts. Subsequent research further advanced the field through rack retrieval and repositioning optimization (34 citations) and storage assignment strategies (28 citations), collectively establishing Yuan as a leading voice in intelligent warehouse logistics. Beyond robotics, Yuan contributed to digital health innovation through the Drishti framework (2019), extending the Open mHealth architecture with FHIR-compliant sense-plan-act capabilities to enable coordinated behavioral health interventions across disparate mobile applications. With over 140 cumulative citations across his published work, Yuan's research consistently bridges theoretical modeling with practical algorithmic solutions, making meaningful contributions to both smart logistics and connected healthcare systems.