Papers

1

Total Citations

34

H-Index

1

About

Xiyu Zheng is a leading researcher in mobile robotics and intelligent navigation systems, with a focus on path planning in complex environments. Their most-cited work, "A Fuzzy Logic Path Planning Algorithm Based on Geometric Landmarks and Kinetic Constraints" (2022, 34 citations), introduces a novel hybrid approach that integrates fuzzy logic with Dijkstra’s algorithm to optimize robot trajectories through challenging two-dimensional terrains. By redefining spatial point selection and incorporating kinetic constraints, Zheng’s algorithm enhances both efficiency and adaptability in real-time navigation. This contribution is particularly impactful for autonomous systems operating in dynamic, obstacle-rich settings. Zheng’s research bridges theoretical control methods with practical robotic applications, offering scalable solutions for industrial automation and field robotics. With a growing citation record and a focus on geometric landmarks and fuzzy rule-based decision-making, their work continues to influence the development of smarter, more responsive mobile robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
A Fuzzy Logic Path Planning Algorithm Based on Geometric Landmarks and Kinetic Constraints
34 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Changchun University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago