Xiaotian Yu

Shenyang Institute of Automation

Papers

1

Total Citations

286

H-Index

1

About

Xiaotian Yu is a leading researcher in autonomous robotics, with a primary focus on path planning and obstacle avoidance for mobile robots. His seminal 2023 review, "Review of Autonomous Path Planning Algorithms for Mobile Robots," has garnered 286 citations, establishing itself as a definitive reference in the field. In this comprehensive work, Yu systematically surveys and categorizes path planning algorithms across diverse platforms—including ground robots, underwater vehicles, and unmanned aerial vehicles—providing critical insights into the core technologies that enable robot autonomy. His contributions are particularly notable for bridging theoretical algorithm development with practical deployment challenges, addressing the fundamental question of how robots can navigate complex, dynamic environments safely and efficiently. By synthesizing decades of research into accessible frameworks, Yu has helped guide both new researchers and experienced engineers in selecting appropriate planning strategies. His work continues to influence advancements in autonomous navigation, with implications for search-and-rescue operations, environmental monitoring, and industrial automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
286
Total Citations
286
Avg Citations/Paper
🏆 Most Cited Paper
Review of Autonomous Path Planning Algorithms for Mobile Robots
286 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenyang Institute of Automation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago