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Manuel Baum


Room: MAR 5.065
Telephone: +49.30.314-73 119
Fax: +4930 314-21116
Office hours: On request

Research interests

I am interested in interactive perception and task-directed exploration, two related and deeply robotic problems.

Interactive perception is important, as not all information that is relevant to an agent is readily available just from looking at the world. The agent needs to exert forces, interact with the world to reveal what's relevant, e.g. the weight of an object, or the degrees of freedom of a kinematic structure. Furthermore, as the agent knows which actions it performed to generate sensor data, it can make use of that information to interpret its input.

The world is complex, but robots are usually employed to solve a set of tasks for which they just need to know about a subset of the world. This is why it is important not to explore the environment randomly, but to perform task-directed exploration. But how to find out which information is actually relevant to a task? And how can we gather that information? I aim to answer these questions in my research.


Manuel Baum and Lukas Schattenhofer and Theresa Rössler and Antonio Osuna-Mascaró and Alice Auersperg and Alex Kacelnik and Oliver Brock 2022. Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents. From Animals to Animats 16. SAB 2022.

Manuel Baum and Oliver Brock 2022. "The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

Manuel Baum and Oliver Brock 2021. Achieving Robustness in a Drawer Manipulation Task by using High-level Feedback instead of Planning. Proceedings of the DGR Days, 29-29..

Manuel Baum and Matthew Bernstein and Roberto Martín-Martín and Sebastian Höfer and Johannes Kulick and Marc Toussaint and Alex Kacelnik and Oliver Brock 2017. Opening a Lockbox through Physical Exploration. Proceedings of the IEEE International Conference on Humanoid Robots (Humanoids).

Manuel Baum and Oliver Brock 2017. Achieving Robustness by Optimizing Failure Behavior. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 5806-5811..

Manuel Baum and Martin Meier and Malte Schilling 2015. Population based Mean of Multiple Computations networks: A building block for kinematic models. 2015 International Joint Conference on Neural Networks (IJCNN), 1–8..

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Xenia Thau
Tel. +49 30 314-73 110
Fax +49 30 314-21 116
Room MAR 5.032


TU Berlin
Fakultät IV, MAR 5-1
Marchstraße 23
10587 Berlin