Papers

3

Total Citations

24

H-Index

3

About

Hejie Xu is a rising researcher in the field of soft and continuum robotics, with a focus on the modeling, control, and design of flexible robotic systems. Their work addresses fundamental challenges in shape reconstruction and dynamics modeling for robots with infinite degrees of freedom, such as continuum and soft robots. A key contribution is the development of a real-time shape reconstruction framework for continuum robots using a multi-attitude solving approach, enabling closed-loop control for these highly flexible systems. Xu has also advanced the design of cable-driven joint modules for space manipulators, enhancing operating distance and torque capabilities for extraterrestrial applications. Their research on parallel extensible soft robots, grounded in Cosserat rod theory, provides rigorous dynamics models that capture the complex coupling between elongation and bending. With papers published in 2022 and 2023, Xu’s work has already garnered over 20 citations, demonstrating early impact in a rapidly evolving field. Their contributions are paving the way for more dexterous, controllable, and practical soft robotic systems for applications ranging from space exploration to medical manipulation.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Orientation to Pose: Continuum Robots Shape Reconstruction Based on the Multi-Attitude Solving Approach
10 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University Town of Shenzhen, Sun Yat-sen University, Tsinghua–Berkeley Shenzhen Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago