Papers

4

Total Citations

67

H-Index

3

About

Lingxiao Xun is a pioneering researcher in soft robotics, specializing in the mechanics, modeling, and control of soft slender manipulators. Their major contributions lie in advancing the Cosserat rod theory to address the nonlinear dynamics and environmental interactions of these flexible, continuum robots. Xun’s most influential work, the "Piecewise Linear Strain Cosserat Model" (2023, 40 citations), introduces a novel framework that simplifies the complex nonlinear deformation of soft robots, enabling more accurate dynamic modeling. Building on this, their 2024 study on "Cosserat-Rod-Based Dynamic Modeling of Soft Slender Robot Interacting With Environment" (18 citations) tackles the challenging problem of non-smooth contact mechanics, providing a robust foundation for real-world applications. Xun further bridges theory and practice by unifying Cosserat models with neural networks for global control (2023, 7 citations), offering a data-driven solution to the exact modeling and control of these inherently nonlinear systems. With a growing citation impact, Xun’s work is instrumental in transitioning soft robotics from lab prototypes to practical, compliant manipulators capable of safe and adaptive interaction with unstructured environments.

Research Focus

Key Achievements

3
H-Index
4
Papers
67
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Piecewise Linear Strain Cosserat Model for Soft Slender Manipulator
40 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Université de Lille, Centre National de la Recherche Scientifique, Centre de Recherche en Informatique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago