Xiangrong Gong
Papers
1
Total Citations
34
H-Index
1
About
Xiangrong Gong is a leading researcher in intelligent robotics and digital twin technology, with a focus on advancing collaborative manipulation systems. His most notable contribution is the development of a digital twin–driven monitoring framework for dual-robot collaborative manipulation, published in 2023 and garnering 34 citations. This work pioneers real-time synchronization between physical robots and their virtual counterparts, enabling precise monitoring, fault prediction, and adaptive control in complex manufacturing environments. Gong’s research addresses critical challenges in human-robot collaboration, multi-agent coordination, and cyber-physical systems integration. His framework has significant implications for Industry 4.0, offering scalable solutions for assembly, welding, and material handling tasks. With a growing citation impact, Gong is recognized for bridging theoretical modeling with practical deployment, and his work is frequently cited in robotics, automation, and digital twin literature. He continues to push boundaries in intelligent manufacturing, making him a key figure for students and researchers exploring the intersection of robotics, simulation, and real-time data analytics.
Research Focus
Key Achievements
Top Papers
- 1