Behrad Koohbor

Rowan University, Manufacturing Institute

Papers

6

Total Citations

65

H-Index

5

About

Behrad Koohbor is a researcher working at the intersection of soft robotics, mechanical metamaterials, and advanced materials engineering. His work focuses on designing intelligent, adaptive robotic systems and novel structural materials that push the boundaries of compliant mechanisms and smart actuation. Koohbor has made notable contributions to the optimization of pneumatic soft actuators, developing model-based and deep reinforcement learning frameworks to maximize mechanical performance — work that has garnered 31 citations and stands as his most impactful publication. His research on modular soft robotic actuators derived from flexible perforated sheets demonstrates how mechanical metamaterials can enable customizable deformations and efficient energy transfer in soft robotic platforms. He has also explored the mechanical behavior of gradient honeycomb structures with tunable Poisson's ratios, advancing the design of zero Poisson's ratio metamaterials for large-deformation applications. Beyond structural design, Koohbor has pursued clinically motivated engineering through IntelliPad, a soft robotic device aimed at preventing pressure injuries, and has investigated electrically conductive 3D-printable TPU/MWCNT filaments for large-deformation strain sensing. Together, his body of work reflects a commitment to bridging fundamental mechanics with real-world biomedical and robotic applications, establishing him as a versatile and impactful voice in the field.

Research Focus

Key Achievements

5
H-Index
6
Papers
65
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Design Optimization of a Pneumatic Soft Robotic Actuator Using Model-Based Optimization and Deep Reinforcement Learning
31 citations · 2021
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Rowan University, Manufacturing Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago