Huiwen Wang

Shanghai University, Shenzhen University

Papers

Total Citations

H-Index

About

Huiwen Wang is a leading researcher in autonomous mobile robotics, logistics automation, and human-robot collaboration. Her work focuses on optimizing warehouse operations through intelligent robotic systems, particularly in the emerging field of AMR-assisted order picking. Wang’s most cited paper, “A decision model on human-robot collaborative routing for automatic logistics” (2022, 30 citations), introduces a novel framework for coordinating human pickers and autonomous robots to reduce walking distances and improve throughput in conventional warehouses. Her 2025 study on optimizing warehouse operations with AMRs (14 citations) further advances practical solutions for integrating mobile robots into existing logistics infrastructure. Earlier, Wang contributed to foundational SLAM research, developing methods that combine depth image information for mapping with inertial navigation systems for localization (2016, 10 citations), addressing computational challenges in visual and laser-based SLAM. Her work bridges theoretical robotics with real-world industrial applications, offering scalable solutions for e-commerce and supply chain automation. Wang’s research is particularly notable for its emphasis on human-centered automation, ensuring that robotic systems enhance rather than replace human workers. With growing citation impact, she is shaping the future of intelligent logistics and collaborative robotics.