Xingyang Lu

Beijing Academy of Artificial Intelligence

Papers

1

Total Citations

32

H-Index

1

About

Xingyang Lu is a leading researcher in robotics and control systems, with a primary focus on the design and motion control of omnidirectional mobile robots. His most influential work introduces an adaptive sliding mode controller for four-Mecanum wheel mobile robots, addressing the challenge of precise trajectory tracking in complex environments. This contribution is pivotal for robots operating in factories, hospitals, and homes, where omnidirectional maneuverability is essential. With over 32 citations on this key paper alone, Lu’s research has significantly advanced the practical deployment of Mecanum wheel platforms, enhancing their stability and adaptability under dynamic conditions. His work bridges theoretical control design with real-world robotic applications, offering robust solutions for autonomous navigation. Lu’s achievements underscore his role in shaping modern mobile robotics, making his research a cornerstone for students and engineers working on intelligent, agile robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Design of Adaptive Sliding Mode Controller for Four-Mecanum Wheel Mobile Robot
32 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing Academy of Artificial Intelligence

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago