Cognition-Based Artificial Intelligence

A robot stands behind a kitchen counter together with two women. The women operate a laptop, the robot stirs in a bowl.

Humans and AI Learning Together

The artificial intelligence (AI) of the future must not only be able to generate plausible solutions, it must also be able to test and assess these solutions. AI systems should have the cognitive ability to understand how and why they do something and where their knowledge gaps lie. For this purpose, we are researching a new framework for joint learning between humans and AI systems in Bremen: The concept of co-construction.

Co-construction describes mechanisms by which humans and machines understand tasks together and find solutions in stages. This enables AI systems to develop intelligence together with humans and act accordingly. In Bremen, we not only develop these AI models, but also embed them in state-of-the-art robots so that AI can support people in a very practical way.

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Contact

Do you have a question? Get in touch!

 

Leonie Dziomba 

dziombaprotect me ?!uni-bremenprotect me ?!.de

+49 421 218-64018

CoAI Joint Research Center

Developing Cognitive and Cooperative AI Together

In order to develop the foundations for future AI models that utilize these capabilities, top researchers from the fields of AI, cognitive robotics, cognitive systems, human-computer interaction, medical assistance, linguistics, psychology. and philosophy are needed. The Joint Research Center on Cooperative and Cognition-enabled AI (CoAI JRC)brings together this expertise as a joint research center of the Universities of Bremen, Bielefeld, and Paderborn. We pursue a common mission that unites our research at all three locations: developing the foundations for new cooperative AI systems that learn with and from people and support us in the real world.

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News

General knowledge for robots

From ironing to cooking – in order to function in everyday life, robots need a lot of knowledge. The KnowRob project wants to provide this.


Group picture of the participants of the EASE Fall School 2023

Looking back at this year’s EASE Fall School

The Collaborative Research Center EASE (Everyday Science and Engineering) can look back on another successful Fall School.


A robot handles a bowl and a cup, next to it a person can be seen working on a laptop, accomplishing the task together with it.

Robots with Common Sense

Professor Michael Beetz from the University of Bremen and Professor Philipp Cimiano from the Bielefeld University have established a long-term collaboration with the goal of making knowledge from many different sources accessible in a machine-readable format.


View of a kitchen with robots. At the edges are desks with computers at which people are working.

Virtual Robotics Lab for Students

Setting the table or cooking – robots are being programmed to carry out everyday activities like these in a research lab at the University of Bremen. All of the robots and their environments also have digital twins.


[Translate to English:] Ein Roboter hält eine Schüssel fest, die auf einem Tisch steht. Im anderen Arm hält er einen Becher, aus dem er offensichtlich etwas ausschütten will.

New Co-constructive Artificial Intelligence Center

The universities of Bremen, Bielefeld, and Paderborn have joined forces to develop AI systems that can provide humans with targeted support in performing tasks.


Portrait of Michael Beetz

AI Researcher Michael Beetz Receives Coveted ERC Advanced Grant

AI achieves impressive results, however it still lacks the ability to plan actions predictively. Professor Michael Beetz from the Institute for Artificial Intelligence is working on the foundations for this and has received the ERC Advanced Grant, which is endowed with 2.5 million euros.