Weiping Liu

Papers

2

Total Citations

12

H-Index

2

About

Weiping Liu is a researcher in robotics and mechanical engineering, with a primary focus on improving the structural performance and motion planning of industrial and legged robots. Their work addresses critical challenges in welding automation, particularly the trade-off between robot intelligence and structural rigidity. In their most cited study, Liu conducted static simulation and structural optimization of key components in joint welding robots, demonstrating that serial robot architectures suffer from insufficient overall rigidity, which degrades positioning accuracy and weld quality. This contribution, with 10 citations, provides a foundation for designing more robust welding robots. Liu has also explored quadruped robot locomotion, developing gait planning algorithms and simulating straight-line motion using ADAMS virtual prototyping to analyze foot-end trajectories and centroid dynamics. This work, though less cited, reflects a broader interest in bio-inspired robotics and dynamic stability. By combining simulation-based optimization with practical mechanical design, Liu’s research offers valuable insights for engineers seeking to enhance robot performance in manufacturing and field applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Static Simulation and Structure Optimization of Key Parts of Joint Welding Robots
10 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1
  2. 2
    Gait planning and simulation of the quadruped robot based on virtual prototype
    2 citations · 2012

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago