Max Robotics — Global Service Robot Directory + US Certification

About

Maja Rudinac is a leading researcher in cognitive robotics, with a primary focus on human-robot interaction and autonomous service robots in domestic and industrial environments. Her most influential work introduces a non-verbal multimodal joint visual attention model for natural human-robot interaction, combining bottom-up saliency and depth-based segmentation with top-down cues like pointing and gaze to detect objects of interest in household scenarios. This work, cited 10 times, addresses a critical challenge in enabling robots to intuitively collaborate with humans. Rudinac has also made significant contributions to benchmarking domestic service robots through her involvement in the RoboCup@Home league, which drives research toward autonomous and interactive robots capable of real-life tasks. Her additional research includes online face recognition and learning for cognitive robots, enabling robust user identification and adaptive learning in real-world situations. With a citation count of 10 for her most cited paper, Rudinac’s work has advanced the field of cognitive robotics, particularly in developing robots that can perceive, learn, and interact naturally with humans in everyday environments.