Papers
1
Total Citations
1
H-Index
1
About
Xin Geng is a researcher whose work sits at the intersection of robotics, optical metrology, and advanced manufacturing. His primary research focus is on developing high-precision measurement systems for complex geometric surfaces, particularly free-form shapes that challenge traditional inspection methods. Geng’s most notable contribution is his pioneering approach to measurement path planning for robot optical measurement systems, where he applies convex optimization techniques to dramatically improve accuracy and efficiency. His 2025 paper on this topic, which has already garnered 1 citation, demonstrates a novel framework that optimizes sensor positioning and scanning trajectories in real-time, enabling robots to capture intricate surface details with sub-millimeter precision. This work addresses a critical bottleneck in automated quality control for industries such as aerospace and automotive, where free-form components are increasingly common. Geng’s research bridges theoretical optimization with practical robotic implementation, offering a scalable solution for high-accuracy, non-contact inspection. His achievements signal a promising trajectory in smart manufacturing, positioning him as an emerging authority in intelligent measurement systems.
Research Focus
Key Achievements
Top Papers
- 1