Welcome to the Institute for Artificial Intelligence!

The Institute for Artificial Intelligence (IAI) is directed by Prof. Michael Beetz.

As a research institute, we conduct basic scientific research in the field of cognition-enabled robotics for everyday activities.

As part of the Faculty of Computer Science, we have a project-based teaching approach. Our hands-on projects in teaching include SuTuRoProjekt: SUTURO - sudo tidy-up-my-room, IntEL4CoRo and the annual EASE Fall School.

The IAI is member of the Center for Computing and Communication Technologies (TZI) as well as the high-profile area Minds, Media and Machines (MMM) at the University of Bremen.


Funded projects
EASE (SFB 1320) is a collaborative research center for everyday activities.
IntEL4CoRo provides an interactive learning environment.
euROBIN is a European Network of Excellence that the IAI is part of.
REMARO develops a reliable and safe AI system for underwater robotics.
Tracebot enables robotic systems to understand what they do.
Internal projects
CRAM is a software toolbox for the implementation of autonomous robots.
KnowRob is a knowledge processing system for robots.
OpenEASE is a web-based knowledge service providing robot and human activity data.
GISKARD is a framework for constraint- and optimization-based robot motion planning and control.
RoboKudo is a perception framework targeted for robot manipulation tasks.

A full overview of our ongoing and completed projects can be found here.


Now open: Registration for the EASE Fall School 2023

The EASE Fall School organized by the Collaborative Research Center EASE is an opportunity to gain insight into the exciting field of cognition-enabled everyday robotics.

The Fall School gives early career researchers the opportunity to learn more about AI, robotics, and the challenging field of robot manipulation. In lectures and hands-on courses, students can exchange ideas with our invited speakers and experts from the EASE Collaborative Research Center.

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2023/07/04 15:18

Talk invitation: "Inductive Biases for Robot Reinforcement Learning" by Prof. Jan Peters

On Wednesday, July 5th, we will welcome Prof. Jan Peters for his talk “Inductive Biases for Robot Reinforcement Learning” at our institute.

Jan Peters is the head of the Systems AI for Robot Learning (SAIROL) research group at the German Research Center for Artificial Intelligence (DFKI) as well as a founding member of the Hessian Center for Artificial Intelligence.

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2023/07/04 14:46

The IAI at the Robotics4Labautomation symposium

Last week, the IAI participated in the Robotics4Labautomation symposium organized by the TraceBot project in Konstanz, Germany. The one-day event brought together laboratory automation and robotics experts from research and industry to discuss the current state of research in laboratory automation in the healthcare industry.

As part of the symposium, IAI director Michael Beetz and IAI researcher Franklin Kenghagho Kenfack explained in their presentations “The digital twin” and “Perception through cognitive emulation” how healthcare processes can be improved using AI methods.

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2023/05/30 13:53


A detailed description of most courses can be found in the Online Module Handbook of the Department.

If you are looking for lectures from past semesters, take a look at our Lecture archive.

Besides lectures and projects, we also offer thesis assignments and jobs for student research assistants. If you are interested, you can find more information here.

Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz

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