Dan Li

Volvo (Sweden), China Agricultural University

Papers

Total Citations

H-Index

About

Dan Li is a researcher whose work sits at the intersection of human-robot collaboration, industrial automation, and smart manufacturing systems. Li's most recognized contribution focuses on the ergonomic and operational challenges inherent in automotive wire harness assembly — a domain facing mounting pressure due to the global surge in vehicle electrification. In a 2023 paper that has already garnered 33 citations, Li tackled the complex problem of task allocation between human operators and robotic systems in wire harness assembly stations, offering practical frameworks for balancing human capabilities with automation in physically demanding environments. This work is particularly timely as electrification trends continue to drive unprecedented demand for wire harnesses, making ergonomic solutions not just desirable but critical. Complementing this, Li's 2020 research explored cloud-based control architectures for Autonomous Guided Vehicles (AGVs), reflecting a broader interest in intelligent, connected manufacturing infrastructure. Together, these contributions position Li as a forward-thinking researcher addressing real-world industrial challenges — from the factory floor to cloud-integrated logistics — with meaningful implications for the future of sustainable, human-centered production systems.