Max Robotics — Global Service Robot Directory + US Certification

About

Zahra M. Bagheri is a leading researcher in bio-inspired robotics and computational neuroscience, specializing in insect-inspired visual systems for autonomous target tracking. Her work bridges the gap between insect neurophysiology and robotic vision, developing algorithms that enable lightweight, low-power platforms to pursue moving features in cluttered, natural environments. Bagheri’s most influential contributions include the design of a target tracker inspired by insect small target motion detectors (STMDs), which demonstrated robust performance under real-world conditions (53 citations), and the implementation of an autonomous robot that replicates insect pursuit behaviors (42 citations). She also advanced understanding of neuronal facilitation mechanisms, showing how they improve tracking in natural pursuit simulations (20 citations). Her research has been pivotal in demonstrating that biological principles can overcome the computational and power constraints of modern hardware, offering efficient solutions for real-time computer vision and robotics. Bagheri’s work is widely cited for its practical impact on autonomous systems and its deep integration of neuroethology with engineering, making her a key figure in the field of bio-inspired robotics.