Iman Adibnazari

University of California San Diego

Papers

12

Total Citations

150

H-Index

7

About

Iman Adibnazari is a pioneering researcher in soft robotics, with a focus on bio-inspired actuation, adhesion, and control systems for unstructured environments. Their work spans self-folding modular machines using liquid crystal elastomers (31 citations), gas-lubricated vibration-based adhesion for vertical mobility (29 citations), and soft grippers that combine suction and friction for manipulating delicate objects in wet conditions (25 citations). A key contribution is the development of scalable fluidic matrix circuits for controlling large arrays of individually addressable actuators, addressing a fundamental challenge in pneumatically powered soft robots. Adibnazari has also advanced granular jamming feet for improved terrain performance, branching vine robots for unmapped environments, and lost-core injection molding for eel-inspired soft robots. Their research on affective touch classification using soft sensor skins highlights a commitment to safe human-robot interaction. With over 140 total citations across their most-cited works, Adibnazari’s innovations in reversible actuation, controllable adhesion, and scalable control are shaping the future of deployable, adaptive robotic systems for applications in search-and-rescue, aerospace, and underwater exploration.

Research Focus

Key Achievements

7
H-Index
12
Papers
150
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Reversible actuation for self-folding modular machines using liquid crystal elastomer
31 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: University of California San Diego

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago