Papers

3

Total Citations

15

H-Index

2

About

Zixing Li is a researcher at the forefront of medical robotics and multi-agent systems, with a focus on developing innovative solutions for minimally invasive surgery (MIS) and autonomous robotic cooperation. Their most notable contribution is the design of a natural orifice soft robot featuring a novel pneumatic drive method that enables rigid-to-soft switching and shape-shifting capabilities, a breakthrough for flexible endoscopy in MIS (8 citations). This work addresses critical challenges in surgical access and maneuverability. Li has also advanced venipuncture robotics by investigating misalignment forces during needle insertion into blood vessels, laying foundational work for improving precision and success rates in automated blood draws (5 citations). In multi-robot systems, Li proposed a cooperative pursuit strategy based on zero-sum game theory and surrounding points adjustment, enhancing pursuit success rates through optimized coordination (2 citations). While their citation counts reflect an emerging career, the diversity of their contributions—spanning soft robotics, surgical force analysis, and game-theoretic control—demonstrates a versatile engineering approach with potential for significant impact in both clinical and autonomous systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A natural orifice soft robot with novel driven method for minimally invasive surgery (MIS)
8 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Beijing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago