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Mårten Björkman is a professor at KTH Royal Institute of Technology, specializing in the field of robotics with a focus on perception learning. His work primarily involves the development of real-world robotic systems, which leverage multi-view computer vision and 3D perception techniques. He is particularly interested in enhancing human-robot interaction by interpreting human intentions and adapting robotic behavior accordingly. Over the years, his research has expanded to include reinforcement-based control of robotic systems, predicting and generating human movement, as well as modeling and controlling power systems. Additionally, Mårten has been exploring online learning in dynamical systems and vehicle control, aiming to understand the implicit regularization in neural networks and its impact on the networks' generalization capabilities.
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