Max Robotics — Global Service Robot Directory + US Certification

About

Paraskevi Nousi is a leading researcher at the intersection of computer vision, deep learning, and autonomous robotics, with a particular focus on enabling high-performance AI on resource-constrained embedded systems. Her work is defined by a drive to make deep learning both lightweight and practical for real-world deployment, especially on unmanned aerial vehicles (UAVs) and robotic platforms. Her most influential contribution is the development of real-time visual object detection and tracking frameworks for UAVs, as demonstrated in her highly cited 2019 paper (46 citations), which addresses the critical challenge of processing aerial video for applications like surveillance and search and rescue. She further advanced the field with a re-identification framework for long-term visual tracking (18 citations) and a joint lightweight tracking and detection system for unmanned vehicles. A major achievement is her co-authorship of OpenDR (24 citations), an open toolkit designed to lower the barrier for applying deep learning in robotics by providing ready-to-use, low-footprint solutions. Through her work on efficient data generation and lightweight architectures, Nousi is shaping a future where intelligent, autonomous systems can operate effectively in the field, not just in the lab.