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Marvin investigates the approaches of Artificial Intelligence for robotics and intelligent systems. Robots performing complex tasks in stochastic environments, such as helping humans at home or collaborating with humans in industries require cognitive skills to interpret sensor data, understand scenes, select and perform actions, deal with failures and interact with humans.
Marvin devise new methods of perception, decision and interaction for robots based on AI planning and machine learning techniques. One of the main focuses of the group is the integration of these techniques into different robotic platforms and architectures.