Xiaodi Liu

Papers

Total Citations

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About

Xiaodi Liu is a researcher whose work centers on the control and coordination of autonomous underwater vehicles (AUVs), with a particular focus on multi-robot formation strategies for complex underwater missions. Their most significant contribution lies in advancing the leader-follower model for underactuated underwater robots, a critical technology for tasks such as underwater search and exploration. In their highly cited 2020 paper, Liu established a robust formation control framework by first analyzing the kinematics and dynamics of individual AUVs, then developing a coordinate transformation method to enable stable, coordinated movement among multiple robots. This work addresses fundamental challenges in underwater robotics, including limited communication bandwidth and the inherent difficulties of controlling underactuated systems in dynamic aquatic environments. While their citation count of 4 reflects the specialized nature of this emerging field, Liu's research provides essential groundwork for practical applications in oceanographic surveying, environmental monitoring, and underwater infrastructure inspection. Their systematic approach to modeling and control offers valuable insights for researchers and engineers working to deploy reliable multi-robot systems in challenging underwater settings.