Seyed Hojat Mirtajadini

Papers

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About

Seyed Hojat Mirtajadini is a robotics researcher specializing in visual object tracking and autonomous aerial systems, with a focus on integrating perception and control for micro aerial vehicles (MAVs). His work bridges computer vision and robotics, developing algorithms that enable drones to track objects robustly while actively controlling their camera motion—a closed-loop approach that improves tracking accuracy and reliability. His 2021 paper on fast object tracking using MAVs addresses the challenge of real-time surveillance, proposing methods that leverage onboard sensing for dynamic environments. In 2023, he advanced this field with a visual-inertial object tracking framework that incorporates camera pose into motion models, achieving 6 citations for its novel integration of state estimation. He also contributed to autonomous delivery drones with a vision-based system for building detection and entry, demonstrating practical applications in logistics. With a growing citation record and a focus on closing the loop between perception and control, Mirtajadini’s work is shaping the next generation of agile, autonomous aerial robots for surveillance and delivery tasks.