Max Robotics — Global Service Robot Directory + US Certification

About

Saeed Yahyanejad is a robotics and human-robot interaction researcher whose work spans autonomous unmanned aerial vehicles (UAVs), collaborative robotics, and cognitive awareness modeling. His most influential contribution, "An Autonomous Multi-UAV System for Search and Rescue" (2015), has garnered over 300 citations and proposes a modular, ROS-based architecture enabling coordinated multi-copter teams to conduct autonomous search and rescue missions — a landmark achievement in applied UAV research. Beyond aerial systems, Yahyanejad has made significant strides in human-robot collaboration, developing probabilistic frameworks that measure and predict situation awareness in real time using eye-tracking and gaze analysis, work reflected across several publications from 2017 to 2019. His research on the YuMi collaborative robot demonstrated practical human-robot interaction in playful, accessible contexts, while his deep learning contributions — particularly on robot localization and transfer learning for joint estimation — address critical challenges of deploying intelligent systems with limited training data. Collectively, Yahyanejad's body of work bridges autonomous systems, computer vision, and cognitive science, offering tools that make robots safer, smarter, and more attuned to human collaborators in real-world environments.