Papers

5

Total Citations

58

H-Index

4

About

Kamran Behdinan is a leading researcher in robotics, dynamic systems, and advanced manufacturing, with a focus on automation and smart materials. His major contributions span the modeling, simulation, and robotic integration of complex tooling and manufacturing processes. Notably, his work on "Dynamic Modeling and Simulation of Percussive Impact Riveting for Robotic Automation" (22 citations) pioneered a new approach to modeling impact-induced deformation for robotic riveting, enhancing automation in aerospace assembly. He has also advanced parallel robotics through dynamic analysis of track-guided tripods (12 citations) and developed innovative construction automation with a bricklaying robot capable of building entire walls (11 citations). More recently, Behdinan has explored soft robotics and biomedical devices, investigating multiphysics effects on ionic polymer-metal composites (IPMCs) for actuation and back-relaxation control. His research consistently bridges theoretical dynamics with practical robotic applications, demonstrating high impact in both industrial automation and emerging smart material technologies.

Research Focus

Key Achievements

4
H-Index
5
Papers
58
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Modeling and Simulation of Percussive Impact Riveting for Robotic Automation
22 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Toronto Metropolitan University, University of Toronto, Canada Research Chairs

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago