Papers
12
Total Citations
184
H-Index
8
About
Xuejun Jin is a leading researcher in the field of cable-driven parallel robotics (CDPR), with a particular focus on high-payload, large-workspace applications and medical robotics. His work addresses fundamental challenges in CDPR design and control, including the development of novel kinematic models that account for cable elasticity and pulley geometry, as well as innovative calibration techniques using low-cost laser distance sensors. Jin's research has produced significant contributions to rehabilitation robotics, where he has designed planar cable-driven systems for upper limb therapy, and to MRI-guided robot intervention, as demonstrated by his 2023 review paper on the subject. His most cited work, with 38 citations, explores the state-of-the-art and emerging challenges in MRI-compatible robotic systems. With over 170 citations across his top ten publications, Jin has established himself as an influential figure in robotic systems engineering. Notable achievements include the development of a four-cable-driven parallel robot for planar motion, viscoelastic cable models for polymer cables to improve open-loop position control, and a twin-pulley mechanism to solve the pulley inclusion problem. His work bridges theoretical kinematics with practical implementations, making him a key contributor to advancing cable-driven robotics for industrial and medical applications.
Research Focus
Key Achievements
Top Papers
- 1MRI-guided robot intervention—current state-of-the-art and new challenges38 citations · 2023
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- 7Four-cable-driven parallel robot12 citations · 2013
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- 10Development of a high payload cable-driven parallel robot5 citations · 2017