Neuroinformatics Group

Universität BielefeldTechnische FakultätNI

CITEC

Physical Reasoning AI

Understanding and reasoning about physics is an important ability of intelligent agents. We are developing an AI agent capable of solving physical reasoning tasks. If you would like to know more about this project/thesis opportunity, check the websites [1][2] or contact Dr. Andrew Melnik.

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Brain-Machine Interfaces to Improve Human-Machine Interaction

This project investigates the relationship between cortical activity (Electroencephalography, EEG), eye movements and mental representation structures (Structural Dimensional Analysis of Mental Representation, SDA-M) as a complex measure of ongoing cognitive processes during human-machine interaction (HMI) - an approach that has so far received little attention.

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Incipient Slip Detection

This 16x16 tactile sensor array is our workhorse for tactile-based robotics research. Providing 256 taxels on a grid of size 8cm x 8cm, we have a spatial resolution of 5mm. The modular design allows to stitch individual modules together to yield a larger tactile-sensitive surface.

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AI for computer games

We are developing a Human-Brain inspired Artificial Intelligence agent capable of producing complex purposeful actions in computer-game simulated environments.  Last year, our CITEC team took the first place in the Microsoft Minecraft competition https://youtu.be/aqUzh_jHSpY?t=1159. If you would like to know more about this thesis/project opportunity, please contact:  Dr. Andrew Melnik <andrew.melnik@uni-bielefeld.de> CITEC-3.308  ---------------------------------------------------------------------        read more »

Human grasping forces and positions synergies

Because of the complex anatomy of the human hand, in the absence of external constraints a large number of postures and force combinations can be used to attain a stable grasp.

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