Liangwen Wang

Zhengzhou University of Light Industry

Papers

13

Total Citations

126

H-Index

7

About

Liangwen Wang is a robotics engineer and researcher whose career has centered on the design, kinematics, and optimization of multi-legged and bionic robotic systems. His foundational work on multi-legged walking robots—spanning forward kinematics, inverse kinematics, and motion error compensation—established a rigorous analytical framework for improving the positional accuracy and reliability of complex robotic platforms, earning him consistent recognition in the field with over 100 cumulative citations across his body of work. Wang's most-cited contribution applies signal-to-noise ratio theory to optimize parameters of four-legged robots, demonstrating a creative cross-disciplinary approach to motion trajectory accuracy. His geometric workspace analysis of quadruped bionic robots with hand–foot-integrated functionality further showcased his ability to bridge theoretical modeling with practical mechanical design. Notably, Wang has expanded his expertise into rehabilitation robotics, developing a rigid-flexible hybrid ankle joint rehabilitation robot, and into equine-assisted therapy through a cam-linkage-driven bionic horse robot. More recently, he has explored mobile robot localization using binocular vision and IMU-based SLAM systems, reflecting a broadening research vision. Wang's diverse portfolio makes him a valuable reference for students and engineers working at the intersection of biomechanics, robot kinematics, and assistive technology.

Research Focus

Key Achievements

7
H-Index
13
Papers
126
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Parameter optimization of a four-legged robot to improve motion trajectory accuracy using signal-to-noise ratio theory
25 citations · 2017
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Zhengzhou University of Light Industry

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago