Yepeng Zhang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yepeng Zhang is a leading researcher in mobile robotics and intelligent path planning, with a focus on developing advanced optimization algorithms for autonomous navigation in complex environments. His most-cited work, "Mobile Robot Path Planning Based on Fused Multi-Strategy White Shark Optimisation Algorithm" (2025), addresses critical limitations in existing path planning methods—including poor adaptability, low convergence efficiency, and suboptimal path quality—by introducing a novel hybrid algorithm that enhances real-world performance. This study bridges the gap between theoretical optimization and practical deployment, particularly in unknown or dynamic settings where traditional approaches falter. With growing recognition among peers, Zhang’s contributions are shaping the next generation of autonomous systems. His research not only advances algorithmic efficiency but also directly impacts applications in logistics, search-and-rescue, and industrial automation. As his citation count continues to rise, Dr. Zhang stands out for his ability to translate complex computational challenges into tangible robotic solutions, making him a key figure in the evolution of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1