Weiyao Bi

Tsinghua University, Siemens (China)

Papers

3

Total Citations

49

H-Index

3

About

Weiyao Bi is a robotics researcher whose work centers on the design, optimization, and stiffness evaluation of advanced robotic systems for large-scale manufacturing. His primary research areas include adsorption robots, parallel robots, and hybrid machining robots, with a focus on improving efficiency, flexibility, and energy performance in industrial applications. Bi’s most cited paper, “Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing” (2021, 30 citations), introduces a novel robot capable of adhering to and machining large structural components, offering a cost-effective and flexible alternative to traditional fixed machining systems. He also developed an energy efficiency evaluation method for parallel robots based on kinetic energy change rates (2019, 15 citations), providing a new metric for assessing and optimizing robot performance. Additionally, his work on the conceptual design and kinematic optimization of a gantry hybrid machining robot (2021) contributes to the growing field of reconfigurable manufacturing systems. With a total of 49 citations across his top papers, Bi’s research is gaining traction among engineers and researchers seeking to advance robotic automation in large-scale part processing. His contributions are particularly relevant for industries such as aerospace and shipbuilding, where large, complex parts require innovative machining solutions.

Research Focus

Key Achievements

3
H-Index
3
Papers
49
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Stiffness Evaluation of an Adsorption Robot for Large-Scale Structural Parts Processing
30 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tsinghua University, Siemens (China)

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago