TIAGo robot helping in kitchen in the Cognitive Service Robotics Apartment lab

Researchers around the world can access our Virtual Research and Training Building.

© Bielefeld University/Patrick Pollmeier

Breaking new ground in AI-enabled robotics

Our Vision: The Joint Research Center on Cooperative and Cognition-enabled AI (CoAI JRC) is Germany’s leading center for interdisciplinary research and innovation on cooperative and cognition-enabled artificial intelligence that features human-centered, embodied, and real-world agency in the sense that it is capable of acting together with humans in a meaningful and goal-directed manner.

The central hypothesis of CoAI is that AI systems need to be equipped with powerful cognitive, reasoning, communicative and interaction abilities to successfully act in the physical and social world. They have to understand and reason about their own actions and those of others as a basis to provide contextualized support for the wellbeing of humans and society at large.

» about us
Robot arm helping a human with an injured hand

AI that works cooperatively in human physical and social environments

Our Mission: The researchers of CoAI JRC join forces to break new ground in the communication and interaction of humans and robots by developing AI systems that have a deep and actionable understanding of how to perform everyday joint tasks in natural human environments. The AI systems targeted by CoAI are able to successfully act in the physical and social world by adapting and learning new skills through cooperating and communicating with their human partners to eventually become competent and trustworthy partners.

» our objectives

Discover our virtual research and training building

Openness is the most efficient and sustainable approach to successful innovation in our current fast-moving AI research environment. This is why the CoAI Center aims to provide external researchers with convenient access to a Virtual Research and Training Building (ViB), which will enable scientists from anywhere in the world to work as if the are physically present in our labs. In the ViB, members of the international CoAI research community have access to AI-ready digital twin robots, research laboratories, and environments to conduct research in AI-enabled robotics, human-robot interaction, education science and developmental robotics. We also support a variety of open data and open software tools, such as the cognitive robot architecture CRAM.

Operating a digital twin PR2 in a virtual kitchen lab
© University of Bremen/Patrick Pollmeier
» learn about the ViB

News & Events

Katharina Rohlfing and Britta Wrede (left to right)
© Susanne Freitag / Michael Adamski

Building trust in science for UNESCO World Science Day

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News
26.01.24

“FAME” Research Initiative by the CoAI JRC’s Michael Beetz will Enable Robots to Visualize Future Actions

An important challenge for cooperative and cognition-enabled robotics is to develop robots that have the ability to consider different possible courses of action and their likely outcomes before selecting one. This is especially important for robots that are engaged in joint tasks with human partners in which the sub-tasks and individual steps have not yet […]
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News
17.01.24

CoAI Virtual Building Featured in Up2Date

The CoAI Virtual Research and Training Building is featured in the latest issue of up2date, the online magazine of the University of Bremen: “Tall windows, a wide, bright hallway, a mirrored elevator: the virtual research building on cognitive-based AI can be entered like a location in a computer game which is waiting to be explored. […]
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15.01.2024, 16:00 - 18:00

Talk by Johanna Seibt on the Problem of Artificial “Social Others”

Title: The Problem of Artificial “Social Others”: How Much Sociality Do We Need for Hybrid Intelligence? Abstract: Co-working, co-creating, cooperation, collaboration—social interactions among humans take many different forms even when the single actions involved are functionally similar: What we take ourselves to be doing together, depends on how we do it together. This raises a […]
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The CoAI JRC Is Part of a Thriving AI Research Ecosystem

The CoAI JRC is embedded in a network of independent projects, research initiatives, and partners in industry and the public sector that collectively form a thriving ecosystem of research in AI and robotics.

Virtual Building

Transfer

Research

Educational Resources

 

Lactation support in neonatal intensive care units in Germany from the mothers’ perspective – a mixed-method study of the current status and needs (2024)

Authors: Isabella Schwab, Ricarda Wullenkord, Friederike Eyssel, Till Dresbach, Nadine Scholten
Published at: BMC Pregnancy and Childbirth (Volume: 24)
10.1186/s12884-024-06339-9

Error bounds for kernel-based approximations of the Koopman operator (2024)

Authors: Friedrich M. Philipp, Manuel Schaller, Karl Worthmann, Sebastian Peitz, Feliks Nüske
Published at: Applied and Computational Harmonic Analysis (Volume: 71)
10.1016/j.acha.2024.101657

MARLIN: A cloud integrated robotic solution to support intralogistics in retail (2024)

Authors: Dennis Mronga, Andreas Bresser, Fabias Maas genannt Bermpohl, Adrian Danzglock, Simon Stelter, Alina Hawkin, Hoang Giang Nguyen, Michael Beetz, Frank Kirchner
Published at: Robotics and Autonomous Systems (Volume: 175)
10.1016/j.robot.2024.104654

Distributed control of partial differential equations using convolutional reinforcement learning (2024)

Authors: Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira
Published at: Physica D: Nonlinear Phenomena (Volume: 461)
10.1016/j.physd.2024.134096

A mixed-methods study of the quality of parental support during adolescents' information-related Internet use as a co-construction process (2024)

Authors: Ricarda Kurock, Jeannine Teichert, Dorothee M. Meister, Lara Gerhardts, Heike M. Buhl, Sabrina Bonanati
Published at: Journal of Adolescence (Volume: 96)
10.1002/jad.12264

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles (2024)

Authors: Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
Published at: Proceedings of the AAAI Conference on Artificial Intelligence (Volume: 38)
10.1609/aaai.v38i13.29352

Physics-Informed Graph Neural Networks forWater Distribution Systems (2024)

Authors: Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer
Published at: Proceedings of the AAAI Conference on Artificial Intelligence (Volume: 38)
10.1609/aaai.v38i20.30192

Taxonomy and Real-Time Classification of Artifacts During Biosignal Acquisition: A Starter Study and Dataset of ECG (2024)

Authors: Hui Liu, Shiyao Zhang, Hugo Gamboa, Tingting Xue, Congcong Zhou, Tanja Schultz
Published at: IEEE Sensors Journal (Volume: 24)
10.1109/JSEN.2024.3356651

Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human-Robot Interaction (2024)

Authors: Clara Lachenmaier, Eleonore Lumer, Hendrik Buschmeier, Sina Zarrieß
Published at: ACM/IEEE International Conference on Human-Robot Interaction
10.1145/3610978.3640736

Are Robots' Gestures Understood? A Study on the Factors Influencing how Humans Perceive Information Present in Robot Gestures (2024)

Authors: Lisa Michelle Bohnenkamp, Olga Abramov, Stefan Kopp
Published at: ACM/IEEE International Conference on Human-Robot Interaction
10.1145/3610978.3640572
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Philipp Cimiano
© Michael Adamski

Philipp Cimiano

Bielefeld University
CoAI speaker
Michael Beetz
© Institute for Artificial Intelligence, University of Bremen

Michael Beetz

University of Bremen
CoAI speaker
Katharina Rohlfing
© Susanne Freitag

Katharina Rohlfing

Paderborn University
CoAI speaker
» all members