Xu Dai
Papers
2
Total Citations
12
H-Index
2
About
Xu Dai is a researcher advancing the frontiers of robotic mechanical systems through sophisticated modeling and simulation techniques. His primary research areas include co-simulation methodologies, flexible multibody dynamics, and contact mechanics in robotics. Dai’s major contribution lies in developing reduced interface models that enable stable and efficient co-simulation of flexible mechanical systems with contacts—a critical challenge in designing complex robotic arms. His 2023 paper on this topic has already garnered 8 citations, reflecting its timely impact. In parallel, his work on contact representation using reduced models (4 citations) systematically compares approaches for incorporating unilateral constraints into system dynamics, providing a valuable framework for engineers. By addressing the instability caused by time-delayed information exchange in co-simulation, Dai’s research directly supports the development of more accurate and reliable robotic systems. His achievements are particularly notable for bridging theoretical modeling with practical simulation challenges, making his work essential reading for researchers in robotics, mechanical engineering, and computational dynamics.
Research Focus
Key Achievements
Top Papers
- 1
- 2