Wenqi Sun

Papers

1

Total Citations

15

H-Index

1

About

Wenqi Sun is a researcher specializing in mobile robotics and intelligent path planning, with a focus on developing efficient navigation algorithms for autonomous systems. Their most notable contribution is the hybrid algorithm approach introduced in their 2023 paper "Path Planning Method for Mobile Robot Based on a Hybrid Algorithm," which has garnered 15 citations and demonstrates a novel integration of multiple optimization techniques to solve complex navigation challenges. This work addresses critical limitations in traditional path planning methods, such as local minima entrapment and computational inefficiency, by combining heuristic search with evolutionary algorithms. Sun's research has significant implications for real-world applications in warehouse automation, search-and-rescue operations, and autonomous vehicle navigation. Their work stands out for its practical focus on balancing path optimality with real-time performance, making it valuable for both academic researchers and industry practitioners. With a growing citation impact, Wenqi Sun is establishing themselves as an emerging voice in the field of mobile robotics, contributing to the advancement of smarter, more adaptable autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning Method for Mobile Robot Based on a Hybrid Algorithm
15 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago