Applied Informatics Group

Lost Key Scenario

A pro-active mobile robot builds up a situation model of its environment. It observes actions by human interlocutors and understands their verbal descriptions. This representation is later used to verbalize the location of arbitrary objects in a human-like manner.

This scenario includes the need for a structural understanding of the physical surrounding of the robot. The identification of furniture items is key for grounding and verbalizing descriptions that relate objects to furniture. A robust segmentation of relevant foreground objects is needed to reduce the search space and complexity of the spatial representation of the environment. The robot implements a pro-active behavior that includes intelligent positioning in order to be able to observe the human's actions.BIRON

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Recent Best Paper/Poster Awards

Goal Babbling of Acoustic-Articulatory Models with Adaptive Exploration Noise
Philippsen A, Reinhart F, Wrede B (2016)
International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) 
PUB | PDF

 

Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees
Richter V, Carlmeyer B, Lier F, Meyer zu Borgsen S, Kummert F, Wachsmuth S, Wrede B (2016)
International Conference on Human-agent Interaction (HAI) 

 

"Look at Me!": Self-Interruptions as Attention Booster?
Carlmeyer B, Schlangen D, Wrede B (2016)
International Conference on Human Agent Interaction (HAI)
PUB | DOI

 

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