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
OpenEASE presented at ICT innovation radar's pitch session
Our department was chosen as one of the 16 finalists for the EU's ICT innovation radar prize 2016. List here
Two of our team members, Alexis Maldonado and Daniel Nyga, traveled to Bratislava to attend the EU's ICT Proposer's Day (26th of September 2016). They presented OpenEASE to a jury of four business experts and many attendees. We also had the chance to show the OpenEASE system live at the Innovation Booth.
Our innovation was very well received and we discussed about our plans for the future. Congratulations to all the finalists and winners of the ICT innovation radar prize!
openEASE: nominated for EU's Innovation Radar Prize 2016
The Innovation Radar is an initiative of the European Commission focused on the identification of high potential innovations and the key innovators behind them in FP7, CIP and Horizon 2020 projects. It supports innovators by suggesting a range of targeted actions to assist them in fulfilling their potential in the market.
openEASE, as a novel cloud-based knowledge service which helps robots to accomplish vaguely stated actions by filling in missing knowledge pieces on demand, is a candidate for this award in the category of Industrial & Enabling Tech.
For more information, you can visit our award profile. You also have the chance of voting for us as your favourite innovator in this profile.
openEASE within EU's Innovation Radar at CEBIT 2016
openEASE is invited to be part of the Innovation Radar stand of European Commission at CeBIT 2016 in Hannover between 14th and 16th of March. You can find openEASE booth at D50/17 in Hall 11.
openEASE is a web-based knowledge source for autonomous robots. It contains episodic memories of autonomous robots performing everyday activities: fetch and place, pizza cooking, chemical experiments, human-robot collaboration activities and many more.
Using a very powerful query language humans and robots can formulate semantic queries about the available episodic memories. openEASE reasons over these episodic memories and provides the humans and robots with specific answers.
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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