Zhiying He
Papers
1
Total Citations
7
H-Index
1
About
Zhiying He is a researcher advancing the field of mobile robotics, with a primary focus on intelligent path planning and autonomous navigation. Their most cited work, "Integration of improved APF and RRT algorithms for enhanced path planning in mobile robotics" (2024, 7 citations), tackles critical limitations in two foundational algorithms. By fusing an improved Artificial Potential Field (APF) method with Rapidly-exploring Random Tree (RRT) techniques, He addresses persistent challenges such as local optima entrapment and failure to reach target points—issues that often plague standalone APF approaches. This hybrid solution demonstrates a practical, systems-level thinking that enhances both the efficiency and reliability of robot motion in complex environments. While early in their citation trajectory, this work signals a promising contribution to robotics, offering a more robust framework for real-world deployment. He’s research is particularly valuable for students and engineers seeking to understand how algorithmic integration can overcome the inherent weaknesses of individual path planning methods, making autonomous systems safer and more effective.
Research Focus
Key Achievements
Top Papers
- 1