The research programme Agile Robotics in Manufacturing and Medicine focuses on the design and development of intelligent robotic systems that integrate modern learning approaches, adaptive control strategies, and optimisation of robotic structures and work environments. The research includes machine learning methods such as deep neural networks and reinforcement learning, combined with learning from demonstration. Particular attention is given to multimodal data integration (vision, force, position sensing) and safe, reliable human–robot collaboration. In manufacturing, the work addresses the design and optimisation of reconfigurable and modular robotic workcells for agile production. This includes layout optimisation, configuration of robotic and passive elements, and the use of digital models and digital twins for planning, simulation, and performance improvement. In medical applications, the research involves the development of robotic research platforms, integration of haptic interfaces, and improvement of motion accuracy and stability in demanding procedures. Emphasis is placed on the development of new and innovative approaches in surgical robotics, combining advanced learning methods with experimental validation on research systems. The programme combines methodological development in learning and optimisation with experimental work on research robotic platforms in both industrial and medical environments. Activities include algorithm and system development as well as dissemination through international scientific publications.
Dr. Miha Deniša
Dr Miha Deniša is a researcher at the Department of Automation, Biocybernetics and Robotics at the Jožef Stefan Institute. His work focuses on intelligent robotic systems for industrial and medical applications. He investigates robot learning, human–robot collaboration, and the design of agile robotic workcells. He is author of several scientific publications and co-inventor of patent applications in medical robotics.
Research programme: Agile Robotics in Manufacturing and Medicine
Training topic: Design, Learning, and Optimisation of Agile Robotic Systems for Manufacturing and Medical Applications