Chin-Yi Cheng
Papers
1
Total Citations
11
H-Index
1
About
Chin-Yi Cheng is a researcher at the forefront of soft robotics and intelligent automation, with a particular focus on integrating machine vision with adaptive manipulation systems. His most-cited work, "Smart Grasping of a Soft Robotic Gripper Using NI Vision Builder Automated Inspection Based on LabVIEW Program" (2022, 11 citations), demonstrates a novel approach to enhancing the dexterity and reliability of soft grippers through real-time visual feedback. By combining National Instruments’ vision inspection tools with LabVIEW programming, Cheng developed a system that enables soft robots to intelligently adapt their grasp based on object shape and position—a critical step toward more autonomous and versatile robotic hands. This contribution bridges the gap between traditional rigid robotics and emerging soft technologies, offering practical solutions for delicate handling tasks in manufacturing and healthcare. While his citation count reflects a growing body of work, the conceptual impact of his research lies in its potential to democratize smart grasping for smaller labs and industries. Cheng’s work exemplifies how integrating off-the-shelf vision hardware with soft actuators can yield robust, low-cost automation solutions.
Research Focus
Key Achievements
Top Papers
- 1