Kaiwen Cheng
Papers
1
Total Citations
16
H-Index
1
About
Kaiwen Cheng is a robotics researcher whose work focuses on the intersection of computer vision and intelligent manipulation systems. His primary research areas include robotic grasping, 3D position estimation, and vision-guided automation. Cheng's major contribution lies in developing cost-effective, single-camera vision systems for robot manipulators. In his most cited work, "Object identification and 3-D position calculation using eye-in-hand single camera for robot gripper" (2016, 16 citations), he designed an intelligent gripper module that uses only one camera in an eye-in-hand configuration. By employing the SURF algorithm for object identification and 3D position calculation, Cheng demonstrated how to reduce hardware complexity while maintaining reliable grasping capabilities. This approach has significant implications for making robotic automation more accessible in industrial and research settings. His work bridges the gap between computer vision algorithms and practical robotic manipulation, offering a streamlined solution for object identification and spatial localization that continues to influence researchers working on vision-based robotic systems.
Research Focus
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Top Papers
- 1