Shuang Cang

Bournemouth University, Northumbria University

Papers

13

Total Citations

251

H-Index

9

About

Dr. Shuang Cang is a pioneering researcher at the intersection of robotics, intelligent control, and assistive technologies. Her work spans three critical domains: medical robotics for minimally invasive diagnosis and intervention (44 citations), autonomous systems for emergency response—including robot-assisted smart firefighting (41 citations)—and the development of underactuated capsule robots for in-vivo applications and pipe inspection (23 citations). Dr. Cang’s major contributions include pioneering behaviour-based control strategies for trajectory tracking in underactuated systems, advancing haptic interfaces for rescue robots in disaster areas (17 citations), and developing reduced-base fuzzy logic controllers that simplify robotic actuator control. She has also made significant contributions to assistive technologies for people with dementia (19 citations), addressing the challenges of an aging global population. Her work on modelling and control of elastically joint-actuated systems and double-pendulum driven carts (12 citations) has advanced the fundamental understanding of underactuated multibody dynamics. With a research portfolio that bridges theoretical modelling, numerical simulation, and practical application, Dr. Cang’s work continues to shape the future of intelligent robotic systems for healthcare, safety, and human assistance.

Research Focus

Key Achievements

9
H-Index
13
Papers
251
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Robots for minimally invasive diagnosis and intervention
44 citations · 2016
📈 Most Prolific Year: 2014 (6 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Bournemouth University, Northumbria University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago