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About

Luka Orsag is a researcher at the forefront of human-robot collaboration and multimodal perception, with a focus on creating safer, more intuitive interactions between humans and machines. His work centers on integrating machine learning with robotic systems to enable robots to understand and respond to human presence and emotional states. Orsag’s most cited paper, "Towards a Safe Human–Robot Collaboration Using Information on Human Worker Activity" (2023, 25 citations), addresses a critical challenge in industrial settings by proposing methods to remove safety fences and allow robots to work alongside humans without compromising safety. He also developed PLEA, an interactive biomimetic robotic head that uses a fusion of acoustic and visual inputs for person localization and emotion recognition, as detailed in his 2022 paper (8 citations). Additionally, his research on multimodal emotion analysis (5 citations) combines visual, acoustic, and linguistic features to enhance robotic empathy. Orsag’s contributions are paving the way for more flexible, robust, and emotionally aware robotic systems, with significant implications for manufacturing, healthcare, and service robotics.