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 run strongly project-based teaching. 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) at the University of Bremen as well as the high-profile area Mind, Media and Machines (MMM).
Research
| Funded projetcs | |
|---|---|
 | 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 and planning 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
European Robotics Challenge IAI teams up for the next stages
Between the 16th and 17th of December 2015, IAI Bremen's challenger team has participated in a EuRoC match making workshop held in Gatwick, UK. We have met several end-users in 1:1 meetings to discuss the details of potential use cases. The end-users are spread all over europe and showed us interesting applications for autonomous systems. The experience was positive, and we gauge that there is a real interest and a place for new robotics research and development in industrial robotics. Further, we believe that we have significant contributions to make to that research.
We are not alone in that belief, and we have received several offers for collaboration. We decided on a use case that in our opinion presented a good mix of tractability and novelty, and are currently writing a proposal with the respective end-user, due on February the 9th, to proceed to the next stages of the EuRoC. Five of the (at most) fifteen project proposals will be accepted for the next rounds, where we will encounter more challenges with increasing complexity, if our proposal can convince the EuRoC jury.
European Robotics Challenge: IAI successfully passed Stage 1a
Our EuRoC challenger team has successfully passed the qualification phase for the Europe wide program, which featured many renowned robotics groups. Within the challenge, over seventeen teams attempted to qualify, of which fifteen met the set requirements. Having solved the challenge's tasks very well, our team earned the second place within the overall ranking.
To solve each task, it was required to implement a generalized high-level plan, which is robust against changes in the environment of the robot. In an objective evaluation, the EuRoC jury used unknown scenes to test our contribution. Changing object appearances also required a generalized and stable perception approach for object detection and pose estimation. Other topics have been motion planning for manipulation & mapping of the workspace.
The upcoming phase of the program will bring challengers, system integrators, and end users of the developed techniques together to form project groups. These groups will then work together to further develop, implement, and test mobile manipulation systems in real world settings.
RoboEarth article selected as Best Paper Award Finalist
We are pleased to announce that the article Representation and Exchange of Knowledge about Actions, Objects, and Environments in the RoboEarth Framework that Moritz Tenorth and Michael Beetz co-authored has been selected as Best Paper Award Finalist by the IEEE Transactions on Automation Science and Engineering (T-ASE). The article presents a knowledge representation language tailored to the robotics use case that allows robots to represent and exchange task descriptions, environment maps and object models via a Web-based platform.
Teaching
A detailed description of most courses can be found in the Online Module Handbook of the FB3: http://apophis.informatik.uni-bremen.de:3001/.
If you are looking for lectures from past semesters, take a look at our Lecture archive.
Beside lectures and projects, we also offer theses 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
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