Liangwen Wang
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
Top Papers
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- 5Error analysis of multi-legged walking robots based on forward kinematics11 citations · 2007
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- 7Motion error compensation of multi-legged walking robots9 citations · 2012
- 8Error Analysis Modeling of Multi-legged Walking Robots7 citations · 2010
- 9Indoor localization technology of SLAM based on binocular vision and IMU5 citations · 2022
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