Papers

3

Total Citations

15

H-Index

3

About

Shuaishuai Wang is a robotics researcher whose work spans medical robotics and legged locomotion, with a focus on developing intelligent control systems for complex mechanical platforms. His key research areas include fuzzy control for surgical robotics, state estimation for quadrupedal robots, and parallel mechanism design for human-carrying walking chairs. Wang’s most cited paper, "Fuzzy controller design of the wire feeder of invasive vascular interventional surgery robot" (2015, 7 citations), introduces a fuzzy PID controller to enhance precision in vascular interventional procedures, addressing critical challenges in minimally invasive surgery. In "State estimation for quadrupedal using linear inverted pendulum model" (2017, 5 citations), he tackles the problem of accurate state estimation amidst sensor noise and disturbances, applying a Linear Inverted Pendulum Model to improve quadruped robot stability. His work on the "Human-Carrying Walking Chair Robot" (2014, 3 citations) demonstrates expertise in parallel mechanism design, combining kinematics analysis with experimental validation. While his citation counts reflect an early-career stage, Wang’s contributions are notable for their practical engineering focus, bridging theoretical control methods with real-world robotic applications in both medical and mobile robotics domains.

Research Focus

Key Achievements

3
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy controller design of the wire feeder of invasive vascular interventional surgery robot
7 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Yanshan University, Shenzhen Academy of Aerospace Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago