Max Robotics — Global Service Robot Directory + US Certification

About

Magnus Jung is an emerging researcher whose work sits at the intersection of human-robot interaction, computer vision, and autonomous mobile robotics. His research addresses some of the most pressing challenges in making robots socially intelligent and spatially aware, spanning areas including eye contact detection, engagement prediction, proxemics modeling, and SLAM-based navigation. Among his most recognized contributions is the NITEC dataset (2024, 6 citations), a hand-annotated eye contact resource designed to advance ego-vision interaction systems — a foundational tool for researchers tackling non-verbal communication in human-machine contexts. Building directly on this, his work on eye contact-based engagement prediction for human-robot interaction introduces real-time behavioral sensing frameworks that enable robots to recognize and respond to declining user engagement naturally and efficiently. His IM HERE model further formalizes engagement as a cognitively grounded, generalizable framework for HRI systems. On the navigation side, Jung has developed enhanced SLAM frameworks integrating RGB-D cameras with 2D LiDAR for improved localization accuracy in mobile robots. His multi-head attention-based action recognition model additionally demonstrates his breadth across temporal sequence learning. With a growing citation record across 2024–2025, Jung represents a versatile voice in socially aware robotics research.