Papers

2

Total Citations

11

H-Index

2

About

Zhuoran Huang is a researcher specializing in intelligent manufacturing and robotics, with a primary focus on sheet metal bending automation and path planning. His major contributions lie in developing improved modeling algorithms that enhance error compensation and collision avoidance during the bending process. His most cited work, "Error compensation and path planning for sheet metal bending process based on improved modeling algorithms" (2024, 7 citations), introduces novel approaches to increase precision and efficiency in industrial bending operations. In his earlier influential study, "Research on feeding path planning algorithm of bending robot based on improved artificial potential field method" (2022, 4 citations), Huang tackled critical challenges in robotic bending by addressing collision risks between sheet metal parts and machinery. By carefully modeling pose calculations and coordinate systems, his work significantly reduces collision probabilities and improves operational efficiency. Huang’s research is particularly valuable for advancing automated manufacturing systems, offering practical solutions that bridge theoretical path planning with real-world industrial constraints. His contributions continue to influence the development of smarter, safer robotic bending technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Error compensation and path planning for sheet metal bending process based on improved modeling algorithms
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago