Changjun Wen
Papers
1
Total Citations
12
H-Index
1
About
Changjun Wen is a prominent researcher in intelligent robotics and automation, with a primary focus on path planning and optimization algorithms for mobile robots in complex environments. His most cited work, "Path Planning of Robot Based on Improved Multi-Strategy Fusion Whale Algorithm" (2024, 12 citations), addresses critical challenges in warehouse logistics and manufacturing by developing a novel approach that significantly reduces path length and energy consumption in automated systems. Wen’s contributions lie in enhancing the efficiency of warehouse logistics robots (WLRs), which are increasingly vital in smart technology-driven industries. By fusing multiple optimization strategies into the whale algorithm, he has advanced the state of the art in navigating cluttered, dynamic spaces. His research has direct implications for reducing operational costs and improving productivity in logistics and manufacturing sectors. Wen’s work is notable for its practical impact, offering scalable solutions that bridge theoretical algorithm development with real-world automation needs. With a growing citation record, he is establishing himself as a key figure in robotic path planning, and his innovations continue to influence both academic research and industrial applications in intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1