Shengdong Nie

University of Shanghai for Science and Technology

Papers

1

Total Citations

28

H-Index

1

About

Shengdong Nie is a leading researcher in robotic endovascular intervention, with a primary focus on force feedback control systems for multi-gripper surgical robots. His most-cited work, "Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments" (2020, 28 citations), represents a significant contribution to minimally invasive surgery by addressing the critical challenge of haptic feedback in robotic catheterization. Nie’s research integrates mechanical design, control algorithms, and experimental validation to enhance the precision and safety of endovascular procedures, enabling surgeons to better perceive tissue interactions during complex interventions. His work has direct implications for improving patient outcomes in vascular surgeries, such as aneurysm repair and thrombectomy. By pioneering multi-gripper architectures with real-time force feedback, Nie has advanced the state of the art in surgical robotics, bridging the gap between theoretical control systems and practical clinical applications. His contributions are particularly notable for their focus on translational engineering, where laboratory prototypes are rigorously tested in simulated and in-vivo environments. With growing citation impact, Shengdong Nie continues to shape the future of robotic-assisted endovascular therapy, making him a key figure in the field of medical robotics and haptic interfaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments
28 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago