Papers

5

Total Citations

28

H-Index

4

About

Jianlin Yang is an emerging researcher specializing in soft robotics, surgical robotics, and cable-driven parallel robot (CDPR) systems, with a particular focus on advancing minimally invasive and endoscopic surgical technologies. His work centers on designing innovative soft, inflatable robotic platforms that combine pneumatic and hydraulic actuation with cable-driven mechanisms to achieve dexterous, multi-degree-of-freedom manipulation within the confined spaces of the human body. Yang's most notable contributions include the development of hydraulic folded pouch actuators — a creative solution enabling compact, flexible cable tension generation — and soft inflatable scaffolds constructed from plastic laminate sheets that can deploy into structured geometries inside surgical environments. His variable stiffness end-effector designs represent a significant step forward in enabling robots to perform complex tasks such as knot tying, tissue retraction, and interventional endoscopy. Complementing these hardware innovations, his tension sensor array work addresses the longstanding challenge of accurate cable tension estimation in tendon-sheath-driven surgical systems. With approximately 28 cumulative citations across five papers published between 2024 and 2025, Yang has rapidly established a productive research trajectory. His contributions hold strong promise for transforming next-generation robotic-assisted surgery toward safer, more adaptable, and minimally invasive clinical solutions.

Research Focus

Key Achievements

4
H-Index
5
Papers
28
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Soft Inflatable Robot Driven by Hydraulic Folded Pouch Actuators for Minimally Invasive Surgery
11 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Nanjing University of Aeronautics and Astronautics, Imperial College London

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago