PhD Thesis

Robot adaptation through multimodal interaction and learning

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  • Started: 01/04/2017


The goal of the project is to develop an adaptive interaction framework that detects and acts upon varying interaction quality caused by varying user physical and cognitive abilities. Methods to adapt robot behaviours to reflect changed user abilities, through multimodal interaction and online learning will be developed. The adaptation will be facilitated through bidirectional communication using several interaction modalities, such as gestures, speech and haptics. The targeted application is assistance in eldercare and independent living.

The work is under the scope of the following projects:

  • SOCRATES: Social cognitive robotics in the European society (web)