Chen-En Shi
Papers
1
Total Citations
11
H-Index
1
About
Chen-En Shi is a rising researcher in the field of soft robotics and intelligent automation, with a focus on integrating machine vision with adaptive grasping systems. His most-cited work, "Smart Grasping of a Soft Robotic Gripper Using NI Vision Builder Automated Inspection Based on LabVIEW Program" (2022), has garnered 11 citations, demonstrating early impact in the niche of vision-guided soft manipulation. Shi’s key contribution lies in bridging LabVIEW-based automated inspection with soft gripper control, enabling more precise, adaptable grasping for delicate or irregular objects—a critical advance for manufacturing and biomedical applications. By leveraging NI Vision Builder, he has shown how off-the-shelf vision tools can be repurposed for real-time feedback in soft robotic systems, reducing the need for complex custom hardware. This work highlights his ability to combine practical engineering with cutting-edge robotics, offering a scalable approach to smart grasping. As an emerging voice in soft robotics, Shi’s research paves the way for more intuitive human-robot interaction and automated handling in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1