Shaohua Yu

Northwestern Polytechnical University, Nanjing University of Science and Technology

Papers

Total Citations

146

H-Index

About

Shaohua Yu is a researcher specializing in last-mile logistics optimization, with a particular focus on the integration of autonomous robots and electric vehicles into urban delivery systems. Their work sits at the intersection of operations research, transportation engineering, and smart city logistics, addressing one of the most pressing challenges in modern supply chains: efficient and sustainable last-mile delivery. Yu's most influential contribution, "Van-based robot hybrid pickup and delivery routing problem" (2021), has garnered 97 citations, establishing them as a leading voice in hybrid human-robot delivery frameworks. This foundational work laid the groundwork for subsequent research into electric van-robot collaborations with en-route charging strategies (2022, 37 citations), demonstrating a consistent commitment to sustainable delivery solutions. Their research portfolio progressively tackles real-world complexity, from access restrictions in urban environments to collaborative truck-robot coordination challenges. Yu's body of work reflects an evolving research agenda that bridges theoretical modeling with practical deployment considerations, making meaningful contributions to how cities might redesign last-mile logistics through automation. With growing international recognition and a cumulative citation count exceeding 140, Shaohua Yu represents an emerging scholar whose research is shaping the future of autonomous urban delivery systems.