Shitao Yu

University of Missouri, Kunming University of Science and Technology

Papers

Total Citations

H-Index

About

Shitao Yu is a leading researcher in warehouse intralogistics and human-robot collaboration, with a focus on transforming order fulfillment systems through intelligent automation. His work centers on optimizing collaborative order picking, where human pickers and autonomous robots work together to improve efficiency in dynamic warehouse environments. Yu’s most impactful contribution is his 2022 paper on integrated approaches for order batching, sequencing, and picker-robot routing, which has garnered 51 citations for its novel framework that coordinates multiple pickers and robots simultaneously. This research addresses critical challenges in e-commerce and logistics by reducing travel time and increasing throughput. His more recent 2025 work explores interventionist strategies for human-robot teaming in dynamic order picking, pushing boundaries in real-time adaptability and safety. Yu’s contributions are vital for the next generation of smart warehouses, and his citation record reflects growing recognition among operations research and robotics communities. His achievements position him as a key voice in the intersection of automation, optimization, and collaborative robotics.