Jingfeng Pan

Hefei University of Technology, Western University

Papers

Total Citations

H-Index

About

Jingfeng Pan’s research lies at the intersection of robotics dynamics, multi-robot coordination, and real-time control systems, with a particular focus on industrial spraying applications. His work addresses critical challenges in automating complex manufacturing processes, from establishing precise dynamic models of spraying robots to developing reconfigurable architectures for multi-robot control. In his most cited work, Pan employed Lagrangian dynamics to model a 6-DOF spraying robot, enabling drag assist control through co-simulation with Simscape—a contribution that bridges theoretical mechanics with practical simulation. He further advanced the field by designing a reconfigurable distributed real-time processing system for multi-robot control, partitioning tasks to achieve system-level flexibility and robust performance. His research also includes the development of a real-time dynamic monitoring system for cooperative spraying, establishing frameworks for operational requirements and system architecture. While his citation counts (6 for his top papers) reflect a focused, emerging impact, Pan’s integrated approach—combining rigorous modeling, software architecture, and real-time monitoring—positions his work as foundational for next-generation intelligent manufacturing systems. His contributions are particularly valuable for researchers exploring adaptive, multi-agent robotic systems in industrial environments.