Welcome to the AICOR Institute for Artificial Intelligence!
The AICOR 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.
AICOR 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
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.
European Robotics Challenge: IAI accepted as challenger
We're happy and excited to announce that a team consisting of PhD
students from the Institute for Artificial Intelligence and
undergraduate students from the successful Suturo project have been accepted to compete in the European Robotics Challenge (EUROC). The team
will be headed by Prof. Michael Beetz.
Our team has successfully applied to participate in the first stage of challenge 2 of EUROC, focussing on logistics and manipulation in dynamic shop floor environments. During this summer, challengers will develop their solutions in simulation. Challenge entries will be evaluated in November.
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
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