Yongsheng
Papers
1
Total Citations
3
H-Index
1
About
Yongsheng is a researcher in robotics and autonomous systems, with a primary focus on mobile robot navigation and path planning. His most cited work, "Mobile robot path planning method combined improved artificial potential field with optimization algorithm" (2011), introduces a hybrid approach that enhances the classic artificial potential field method by integrating optimization algorithms to overcome local minima and improve path smoothness. This contribution addresses a critical challenge in real-time robot navigation, offering a more efficient and reliable solution for dynamic environments. While his citation count is modest, the work reflects a practical engineering mindset, aiming to bridge theoretical algorithms with real-world robotic applications. Yongsheng’s research underscores the importance of combining classical control techniques with modern optimization, a theme that resonates in the broader field of intelligent robotics. His efforts contribute to the ongoing development of safer and more adaptive autonomous systems, particularly in scenarios requiring obstacle avoidance and efficient route planning.
Research Focus
Key Achievements
Top Papers
- 1