Papers

4

Total Citations

82

H-Index

2

About

Le Ling is a pioneering researcher at the intersection of soft robotics and intelligent manufacturing, whose work spans two seemingly disparate but equally impactful domains: biomedical devices and automated industrial systems. Ling’s most notable contribution is the development of a magnetic soft robotic bladder for assisted urination (2022, 72 citations), a groundbreaking solution for underactive bladder conditions. This work addresses a critical clinical need by using soft robotics to restore contractility in the detrusor muscle, offering a non-invasive alternative to neurostimulation and regenerative medicine. In parallel, Ling has advanced automated robotic spraying technology, developing predictive algorithms and trajectory planning methods that bridge the gap between human expertise and machine precision. Key contributions include the KHPO-ELM neural network for spraying quality prediction (2024) and multi-objective optimization for coating turbine blades using seventh-degree B-spline curves (2025). Ling’s research demonstrates a rare ability to apply soft robotics principles to both medical rehabilitation and industrial automation, with cumulative citations exceeding 80. This dual focus positions Ling as a versatile innovator whose work has practical implications for healthcare and manufacturing alike.

Research Focus

Key Achievements

2
H-Index
4
Papers
82
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Magnetic soft robotic bladder for assisted urination
72 citations · 2022
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Wuhan National Laboratory for Optoelectronics, Dongfang Electric Corporation (China)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago