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You are here: Home Partners Project Partners Technische Universitaet Ilmenau (UIL)
Technische Universitaet Ilmenau (UIL)
Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab
http://www.tu-ilmenau.de/neurob
Responsible Person: Horst-Michael Gross
Role/Responsibilities: Leader WP4, WP8, Contributions to: multi-modal user detection and tracking; vision-based recognition of user instructions and user states; user-adaptive multi-modal Human-Robot dialogue; robust autonomous navigation in home environments; semi-autonomous robot remote control by relatives and care-givers; long-term end user tests with mobile robot companions in the Smart Home Scenario

The research of the Neuroinformatics and Cognitive Robotics Lab aims at the development of behaviour-oriented Machine Intelligence based on neural and probabilistic principles of information processing and learning, and the evolution and organisation of behaviours in actively learning sensorimotor systems. As demanding application field, the research of the lab is focused on social, interactive and self-adapting mobile robot assistants equipped with natural Human-Machine Interfaces and user-adaptive dialogue techniques. Among recent RTD results are the first interactive shopping assistant for home improvement stores worldwide (2007) – a mobile robot companion with advanced interaction capabilities able to guide customers to desired articles in the store or to follow them as a mobile information kiosk continuously observing them. The following research aspects, for which the lab has particular expertise, are of direct relevance for CompanionAble: probabilistic and neural techniques for Human-Robot-Interaction and mobile robot navigation; vision-based, non-verbal HRI by means of gestures, head pose, facial expression, and body language; spatio-temporal image processing (image segmentation, robust object detection and tracking, monocular/binocular depth estimation), and reinforcement learning. The lab’s expertise has been demonstrated in several successful RTD projects funded by federal and state agencies and private companies. The lab maintains several highly interactive indoor and outdoor robot platforms which allow robotics and HRI-research at highest international level. It currently comprises 3 post-doctorates as academic or research staff, 10 Ph.D. students working as research assistants, 2 technicians, and around 20 graduate students working on their master’s theses. 
 

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Syndicate

The CompanionAble project is co-funded by the European Commission under the 7th Framework Programme

(Grant Agreement Number 216487).

Start Date: 1st January 2008
Duration: 48 Month

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