Applied Informatics Group

A4 - Alignment of situation models

Project A4 explores the formation, adaptation and alignment of situation models by combining psycholinguistic and computational approaches. Drawing upon empirical results, we implemented computational models that enable robots to verbally communicate spatial relations between objects and to resolve ambiguities in frame of reference selection in human verbal descriptions. 

Situation Model

We further extended the scene perception of the robot in order to incrementally integrate scene changes that are observed from different viewpoints over time. We constructed an overall articulated scene model that can dynamically switch between multiple egocentric scene representations.

Associated Scenarios

Associated Platforms

External References

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) 


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)


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