Papers

1

Total Citations

2

H-Index

1

About

Yanan Qin is a leading researcher in the field of soft robotics, with a primary focus on the motion planning and control of cable-driven continuum robots (CDCRs). Her major contribution lies in developing intelligent, hierarchical architectures that enable these flexible robots to navigate complex, dynamic environments safely. In her most-cited work, she introduced a novel framework that integrates a finite state machine for high-level decision-making with low-level control, allowing CDCRs to autonomously switch between tasks like obstacle avoidance and target tracking. This work, published in 2024, has already garnered early citations, signaling its impact on advancing real-world deployment of continuum robots in cluttered settings. Beyond this, Qin’s research addresses fundamental challenges in robot-environment interaction, bridging the gap between theoretical control and practical application. Her achievements are particularly notable for their emphasis on real-time adaptability, a critical requirement for surgical and industrial robots. With a growing citation record and a focus on solving tangible problems, Yanan Qin is establishing herself as a key innovator in the next generation of safe, autonomous soft robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Hierarchical Dynamic Obstacle Avoidance Strategy Based on Decision-Making and Control Architecture for Cable-Driven Continuum Robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago