Papers
1
Total Citations
6
H-Index
1
About
Zuao Wang is a leading researcher in intelligent logistics and multi-robot systems, with a focus on optimizing heterogeneous robotic delivery networks. His most-cited work, "Delivery Route Scheduling of Heterogeneous Robotic System with Customers Satisfaction by Using Multi-Objective Artificial Bee Colony Algorithm" (2024, 6 citations), introduces a novel framework for coordinating unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) in urban environments. Wang’s key contribution lies in developing a multi-objective artificial bee colony algorithm that simultaneously minimizes delivery costs and maximizes customer satisfaction—a critical advance for last-mile logistics. By addressing the real-world constraints of road networks for UGVs and airspace for UAVs, his research bridges the gap between theoretical optimization and practical deployment. This work has quickly gained traction, laying the groundwork for scalable, customer-centric autonomous delivery systems. Wang’s achievements highlight his ability to tackle complex scheduling challenges in smart city logistics, positioning him as an emerging authority in heterogeneous robotic coordination and swarm intelligence applications.
Research Focus
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Top Papers
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