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.
Research
| 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.
News
IAI Press Coverage
We are pleased to announce that the activities of the IAI have been recently covered by many important media sources including the Spiegel, n-tv and the AD from the netherlands. The articles gave an insight into one of our research areas, which is the domain of everyday activities on different robot platforms. Beside our research on this topic, the articles also mention our open research platform openEASE, which enables researchers worldwide to work with episodic memories gathered from various robots.
openEASE at CeBIT 2017
Dealing with knowledge is a crucial requirement for autonomous service
robots which are meant to perform complex tasks in everyday activities.
Nowadays humans will teach robots the necessary knowledge directly to make them competent in a specific task. Enabling robots to teach themselves by exchanging knowledge with other robots is the goal of our software platform openEASE.
The IAI will present openEASE at the CeBIT 2017, which is the biggest IT expo in the world. You can find us in Hall 8, booth E01 from the 22nd to 24th of March 2017.
Press releases:
- English: Press release openEASE at CeBIT
IAI demonstrated Unreal-based Rescue Simulation
Our FP7 project, SHERPA, came to an end with a final review between 1st and 3rd March in Davos, Switzerland. As IAI team, we had the chance to demonstrate our HMI-enabled high-level planing and reasoning in a wide-area rescue scenario. We also developed an Unreal game engine-based simulation with ROS interface and RoboSherlock perception for this rescue mission.
Our demonstration has received very positive feedback from the reviewers and partners. We thank all of the contributors for this successful project. It was a great experience!
Teaching
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
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
Memberships and associations:
Social Media:
