Aleš Ude
Aleš Ude is the Head of the Department of Automatics, Biocybernetics, and Robotics at the Jožef Stefan Institute in Ljubljana. His research spans robot learning, imitation learning, reconfigurable robotic systems, and humanoid robotics, with a particular focus on enabling robots to flexibly adapt to new tasks and environments. Over the course of his career, he has coordinated and led numerous national and international research initiatives, including large EU-funded projects.
Bojan Nemec
Bojan Nemec is a reserach councillor at the Jožef Stefan Institute. His research interests include robot control, robot learning, service robotics, and sports biomechanics.
Matija Mavsar
Matija Mavsar is a postdoctoral researcher employed at the Jožef Stefan Institute. His research focuses mainly on the use of deep learning and motion prediction in robotics.
Research
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JSI brings to the project expertise on designing and building reconfigurable workcells suitable for a variety of applications. They also provide advanced technologies to support effective learning and adaptation for effective implementation of new robotic applications.
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JSI develops reconfigurable robotic cells, AI-based planning and control for soft-material handling, and adaptable tools to enable transferability and automation across FlexCycle use cases.