Papers
1
Total Citations
7
H-Index
1
About
Juntong Guo is a researcher whose work centers on structural health monitoring and the dynamic analysis of robotic systems, with a particular focus on milling robots. His major contribution lies in developing innovative methods for identifying complete mode shapes of robot body structures using only output data. In his most-cited paper, "Output-only complete mode shape identification of milling robot body structures using a limited number of current sensors" (2024), he introduced a technique that leverages current sensors—rather than traditional accelerometers—to capture vibration data, enabling accurate structural assessment with minimal hardware. This approach has garnered 7 citations, reflecting its growing relevance in precision manufacturing and robotics. Guo’s work addresses a critical challenge in industrial robotics: ensuring structural integrity and performance under operational loads. By simplifying sensor requirements, his method reduces costs and complexity, making it practical for real-world applications. His research is particularly valuable for engineers seeking to enhance the accuracy and reliability of robotic machining processes.
Research Focus
Key Achievements
Top Papers
- 1