Jinyan Guo
Papers
1
Total Citations
10
H-Index
1
About
Jinyan Guo is a researcher at the forefront of intelligent manufacturing and robotic assembly, with a primary focus on precision automation and computer vision. Their most impactful work, "Target reconstruction and process parameter decision-making for bolt intelligent assembly based on robot and multi-camera" (2024), has already garnered 10 citations, signaling its growing influence in the field. This study introduces a novel framework that integrates multi-camera systems with robotic control to achieve high-accuracy bolt assembly—a critical process in industries like automotive and aerospace. By enabling real-time target reconstruction and adaptive parameter decision-making, Guo’s research addresses long-standing challenges in automated assembly, such as variability in part positioning and environmental conditions. Their contributions advance the practical deployment of intelligent robots in complex manufacturing environments, improving efficiency and reliability. Guo’s work is notable for bridging theoretical computer vision with hands-on industrial applications, offering a scalable solution for smart factories. As a rising voice in robotics and automation, their research continues to shape the future of precision assembly, with potential implications for quality control and process optimization.
Research Focus
Key Achievements
Top Papers
- 1