Max Robotics — Global Service Robot Directory + US Certification

About

Marzieh Dolatabadi is a roboticist whose work bridges perception and motion prediction for autonomous systems. Her primary research focuses on pedestrian tracking, multi-agent coordination, and human-robot interaction, with significant contributions to the RoboCup Middle-Size League. She is best known for developing a multiple-joint pedestrian tracking method that leverages periodic motion models—specifically, the cyclical patterns of leg reflection and extension angles—to estimate accurate positions of multiple pedestrians. This work, published in 2020, has garnered 6 citations and directly addresses critical challenges in robotics and autonomous driving, where reliable tracking is essential for safe navigation. As a key member of Tech United Eindhoven, she contributed to their 2019 Middle-Size League championship victory, a testament to her expertise in real-time robot control and team strategy. Her research not only advances theoretical understanding of human motion patterns but also has practical implications for autonomous vehicles and service robots, making her a rising figure in applied robotics.