Papers

7

Total Citations

253

H-Index

7

About

S. Elnaz Naghibi is a leading researcher in soft and continuum robotics, specializing in the modeling, control, and design of hybrid rigid–continuum systems. Her major contributions center on developing fast, accurate, and user-friendly dynamic models—such as the widely adopted TMTDyn Matlab package (86 citations), which enables reduced-order and discretized lumped system modeling for continuum manipulators. She has advanced stiffness control for minimally invasive surgery through scale jamming mechanisms (55 citations), and introduced geometry deformation models for braided continuum manipulators (55 citations). Her work on reduced-order modeling and model order reduction (18 citations) addresses the high-dimensional challenges of geometrically exact approaches like Cosserat rod and FEM. Naghibi has also explored bio-inspired design, investigating low-hysteresis helical scale jamming interfaces inspired by teleost fish scales (7 citations). With over 250 total citations across her key publications, her research bridges theoretical modeling with practical robotic applications, making her a pivotal figure in the soft robotics community. Her achievements include pioneering algorithms for deriving Lagrangian equations of motion with collision and constraint, further solidifying her impact on dynamic modeling for complex robotic systems.

Research Focus

Key Achievements

7
H-Index
7
Papers
253
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
<i>TMTDyn</i> : A Matlab package for modeling and control of hybrid rigid–continuum robots based on discretized lumped systems and reduced-order models
86 citations · 2020
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Queen Mary University of London, Vaughn College of Aeronautics and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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