Mahan Behroo
Papers
2
Total Citations
16
H-Index
2
About
Mahan Behroo is a researcher whose work bridges the critical gap between theoretical control systems and practical aerial vehicle design. His primary research areas encompass trajectory generation, dynamics identification, and the development of novel unmanned aerial vehicles (UAVs), with a particular focus on Coanda-effect-based platforms. Behroo’s most significant contribution is a near-optimal trajectory generation method that employs compound B-spline interpolation and a minimum distance criterion, enhanced by dynamical feasibility correction—a technique that ensures smooth, real-world applicable paths for autonomous systems. This work, cited 9 times, provides a computationally efficient solution to a core challenge in robotics and UAV navigation. In parallel, his research on the development and instrumentation of a Coanda air vehicle has garnered 7 citations, where he pioneered the identification of its dynamic behavior and derived a mathematical model. This is crucial for early-stage design, as obtaining rough dynamic estimates reduces development costs and prevents costly failures. Together, Behroo’s contributions offer practical, cost-saving tools for the aerospace and robotics communities, making him a valuable resource for students and engineers seeking robust, real-world solutions in autonomous flight.
Research Focus
Key Achievements
Top Papers
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- 2