Ali Aminzadeh

University of Tehran, K.N.Toosi University of Technology

Papers

Total Citations

H-Index

About

Ali Aminzadeh is a researcher focused on bio-inspired robotics and autonomous aerial systems, with key contributions in optical flow navigation and cooperative multi-robot sensing. His most cited work, "Implementation and performance evaluation of optical flow navigation system under specific conditions for a flying robot" (2018, 10 citations), draws inspiration from honeybee vision to develop navigation methods that estimate distance and avoid obstacles using optical flow—mimicking biological processes for robust flight control. This work bridges computer vision and robotics, offering lightweight, vision-based solutions for small flying robots. Aminzadeh also co-authored "Aerial cooperative multi-robot system for remote sensing and automated victim search" (2023, 4 citations), advancing multi-robot coordination for disaster response. His research impacts fields ranging from search-and-rescue to environmental monitoring, demonstrating how biological principles can enhance autonomous navigation. With a growing citation record, Aminzadeh’s work is notable for its practical applications in constrained environments, making him a promising voice in the intersection of robotics, computer vision, and bio-inspired engineering.