Jiguo Shan
Papers
1
Total Citations
4
H-Index
1
About
Jiguo Shan is a leading researcher in intelligent manufacturing and robotic machining, with a focus on the digital transformation of large-scale industrial components. His work addresses a critical bottleneck in modern manufacturing: the need for precise, online 3D reconstruction of complex, large-sized parts used in aerospace, energy equipment, and shipbuilding. Shan’s most cited paper, "On-Line 3D reconstruction based on laser scanning for robot machining of large complex components" (2018, 4 citations), introduces a method that enables robots to dynamically generate accurate digital models during the machining process, bridging the gap between physical components and their digital twins. This contribution is foundational for intelligent manufacturing, allowing for real-time adaptation and precision in tasks that were previously reliant on static models. While his citation count reflects a niche but impactful area, Shan’s work is pivotal for advancing automation in industries where component size and complexity pose significant challenges. His research underscores the importance of digital modeling as the backbone of next-generation robotic systems, positioning him as a key innovator in the field of smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1