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
Top Papers
- 1On flange-based 3D hand–eye calibration for soft robotic tactile welding6 citations · 2024