Papers

11

Total Citations

70

H-Index

6

About

Aida Parvaresh is a robotics researcher whose work spans two compelling frontiers: the dynamics and control of continuum robotic arms, and the emerging field of soft, bio-inspired locomotion robots. Her early contributions established robust frameworks for modeling the notoriously complex behavior of continuum manipulators, employing data-driven and fuzzy control approaches to overcome the inherent nonlinearities and uncertainties that challenge traditional methods. Papers such as "Modeling and Model-free Fuzzy Control of a Continuum Robotic Arm" (2018) and "Dynamics and Path Tracking of Continuum Robotic Arms Using Data-Driven Identification Tools" (2021), each garnering 11 citations, reflect her sustained influence in this domain. More recently, Parvaresh has pivoted toward innovative soft robotics, designing kirigami-inspired crawlers, metamaterial snake robots, and inflatable textile actuators that draw inspiration from biological locomotion strategies. Her 2024 work on a metamaterial soft snake robot and subsequent kirigami crawler studies have already attracted notable attention, accumulating up to 7 citations within months of publication. Across her career, Parvaresh demonstrates a rare ability to bridge theoretical modeling with tangible physical systems, making her research valuable to students and engineers alike working at the intersection of control theory, materials science, and biologically inspired robotics.

Research Focus

Key Achievements

6
H-Index
11
Papers
70
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Dynamics and path tracking of continuum robotic arms using data-driven identification tools
11 citations · 2021
📈 Most Prolific Year: 2025 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: K.N.Toosi University of Technology, University of Southern Denmark, Maersk (Denmark)

Top Papers

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    Inflatable Kirigami Crawlers
    7 citations · 2025
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago