Prof. Dr. Lukas Schmid
The research group on Machine Intelligence advances the frontiers of embodied spatio-temporal AI for autonomous robots and systems.
In particular, we investigate how machines in human-centric and dynamic environments can understand their surrounding scene and agents, and how they can build representations and memory of these. We also study how these representations can be used to proactively gather information and complete tasks. Finally, we explore how machines can learn from this data in order to specialize to their embodiment, environment, tasks, and human preferences over time.
Our approaches draw from tools in probabilistic inference, information theory, optimization, machine learning, and solid software engineering, and are backed by both rigorous theory and extensive real-time deployments on diverse physical robots and systems.
Prof. Dr. Lukas Schmid
Professor of Machine Intelligence
All Publications
List of publications of Prof. Dr. Lukas Schmid on Google Scholar
