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
Finalist at ICAR'17
We are pleased to announce that our joint paper with the Institute of Robotics and Mechatronics,DLR:
* Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks, Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner and Michael Beetz
has been selected as an ICAR 2017 best paper award finalist.
The paper presents a robotic perception system that generates perceptual episodic memories during the execution of a task. To allow easy retrieval of these memories we introduce an object and scene description language that serves as a layer of abstraction between the structure of the perception logs and the semantic interpretation of these. The description language can be used through a query interface to retrieve specific parts of the generated episodic memory. The purpose of the proposed system is two-fold: to enable on-line retrospection and specialized training of perception routines and to enable researchers to interactively explore perception results.
DFG has approved funding for EASE
We are very happy that the Deutsche Forschungsgemeinschaft (DFG) has approved funding for the collaborative research center 'Everyday Activity Science and Engineering' (EASE). In EASE we will investigate the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities. Please visit the new EASE project website http://ease.informatik.uni-bremen.de/ for further information.
Meet us at ICRA'17!
We are happy to announce three accepted papers at this year's ICRA conference in Singapore, 29.05.17-02.06.17:
- A Cloud Service for Robotic Mental Simulations, Asil Kaan Bozcuoğlu, Michael Beetz (Session WeA4.2, 09:35–09:40)
- Instruction Completion through Instance-based Learning and Semantic Analogical Reasoning, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz (Session WeC11.3, 14:40–14:45)
- What No Robot Has Seen Before – Probabilistic Interpretation of Natural-language Object Descriptions, Daniel Nyga, Mareike Picklum, Michael Beetz, (Session WeC11.4, 14:45-14:50)
Michael Beetz is also an invited speaker at the workshop on AI Planning and Robotics: Challenges and Methods. He will give a talk on Robot planning for the mastery of human-scale everyday manipulation tasks on Monday, May 29, 13:30-14:00.
See you in Singapore!
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
Discover our VRB for innovative and interactive research
Memberships and associations:
Social Media:
