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Research Associate Professor | AI & Robotics Innovator
PhD in Engineering, Founder of Coarobo GK, advancing Society 5.0 through human-centered robotics, multimodal AI, and extended reality interaction.
Explore My WorkLotfi El Hafi, PhD, is a Research Associate Professor at Ritsumeikan University, Japan, and the President & Founder of Coarobo GK, a robotics innovation company.
He holds an MScEng in Mechatronics from UCLouvain, Belgium, and a PhD in Engineering from NAIST, Japan. His master’s work contributed to JPEG XS (TICO compression) at intoPIX SA, and his doctoral research introduced STARE — a deep learning method for simultaneous eye tracking and attention recognition.
A recipient of the MEXT Scholarship, Lotfi has led interdisciplinary research in AI, robotics, and extended reality (XR), earning multiple awards from JST CREST and international robotics competitions.
Leading the AI+Semiotics project at Ritsumeikan, integrating artificial intelligence with symbolic meaning systems for next-gen human-machine interaction.
Designing autonomous robots for real-world environments, focusing on manipulation, navigation, and human-robot collaboration in smart societies.
Exploring multimodal interaction in XR environments, combining eye tracking, gesture recognition, and AI for immersive experiences.
Building full-stack robotic systems that integrate hardware, software, AI, and cloud infrastructure for scalable deployment.
Advocating for open collaboration through containerized development environments and cloud-first tools to accelerate innovation.
Contributing to Japan’s vision of a super-smart society through robotics, AI, and human-centered technology design.
Deep learning-based eye-tracking method that extracts user attention from corneal reflections in scene images.
Human-centered robotic platform developed with Panasonic and NAIST for intelligent service environments.
Cloud-first, open-source Software Development Environment for cross-institutional robotics R&D.
Contributed to TICO algorithm during internship at intoPIX, now standardized for Ultra HD 4K/8K video.
Interdisciplinary framework combining AI with semiotics for meaningful human-robot communication.
Advanced vision pipelines for object detection, pose estimation, and scene understanding in robotics.
Multiple 1st place wins in World Robot Summit challenges focused on autonomous retail robotics.
1st Place at IEEE ICRA 2016 for robotic assembly and inspection in industrial environments.
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