Papers

1

Total Citations

6

H-Index

1

About

Jie Yu is a researcher at the forefront of soft robotics and advanced manufacturing, with a particular emphasis on tactile sensing and robotic calibration. Their most notable contribution is the development of a novel, flange-based 3D hand–eye calibration method for soft robotic tactile welding systems. This work, published in 2024, ingeniously leverages the standardized geometric features of a robot flange to perform calibration directly using a 3D scanner, eliminating the need for complex, external calibration objects. By enabling collaborative robots to "see" their own end-effector, Yu’s research significantly enhances the precision and adaptability of soft robotic systems in unstructured environments. Though early in its publication life, this paper has already garnered 6 citations, signaling its immediate impact on the field. Jie Yu’s work is pivotal for advancing human-robot collaboration, particularly in tasks requiring high tactile sensitivity and spatial accuracy, such as automated welding and assembly. Their research bridges a critical gap between soft robotics and industrial automation, promising safer and more efficient manufacturing processes.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
On flange-based 3D hand–eye calibration for soft robotic tactile welding
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Southern University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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