Teng Yan

Shenzhen University

Papers

1

Total Citations

2

H-Index

1

About

Teng Yan is a researcher focused on advancing automation and precision in the 3C (Computer, Communication, and Consumer) electronics industry, with a particular emphasis on robotic manipulation and intelligent sensing. His key research areas include visual-tactile sensing, robotic grasping stability, and industrial automation. In his notable 2023 study, "Stability Analysis of 3C Electronic Industry Robot Grasping Based on Visual-Tactile Sensing," Yan addresses critical challenges in production efficiency and product quality by tackling common issues like object slippage and twisting during robotic assembly. This work, which has garnered 2 citations, proposes innovative solutions that integrate sensory feedback to enhance grasping reliability—a significant step forward for high-precision manufacturing environments. By bridging the gap between theoretical sensing models and practical industrial applications, Yan’s contributions offer valuable insights for engineers and researchers working to optimize robotic performance in complex assembly tasks. His research underscores a commitment to solving real-world production bottlenecks, making him a promising voice in the evolving field of intelligent robotics and smart manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Stability Analysis of 3C Electronic Industry Robot Grasping Based on Visual-Tactile Sensing
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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