Aljaz Kramberger

Aljaz Kramberger is an Associate Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he is a key member of SDU Robotics. His work bridges robotics, artificial intelligence, and industrial automation, with a strong focus on robotic assembly, vision-based pose estimation, and human-robot interaction. He actively contributes to both research and education within the robotics domain.

Research Interests: His research spans several advanced topics in robotics, including reinforcement learning for robotic assembly, domain randomization, task planning under uncertainty, and low-code programming frameworks for robot motion. He investigates how robots can generalize skills across tasks and environments, particularly in industrial settings. His work emphasizes robust perception, decision-making under uncertainty, and seamless human-robot collaboration in manufacturing contexts.

The recent articles reflect a strong trend toward intelligent, adaptive robotic systems that learn from simulation and generalize to real-world tasks. Key themes include policy learning for assembly, uncertainty-aware pose estimation, domain-specific languages for robot programming, and social aspects of HRI in industrial environments. These works demonstrate a consistent focus on bridging simulation and reality, improving task reliability, and enhancing usability in robotic automation.

Scientific Awards:

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Advising and Grants: Dr. Kramberger supervises multiple PhD students and is involved in several major research projects. He is the principal supervisor for PhD projects on generative factory optimization in the industrial metaverse and robot control for deformable parts. He is also co-PI on a project focused on low-code programming for mobile robotics, and a project participant in EU-funded initiatives like Fluently and FERA, which aim to advance fast, efficient, and socially fluent robotic automation. These projects are supported by Novo Nordisk, EU funding, and national research councils.

Labs and Teams: He is embedded in the SDU Robotics group at the Maersk Mc-Kinney Moller Institute, a leading center for robotics research in Denmark. He collaborates closely with researchers such as Norbert Krüger, Leon Bodenhagen, and Thiago R. Silva. His work is highly collaborative, involving interdisciplinary teams focused on industrial robotics, AI integration, and human-centered automation.