Adaptive Multimodal Emotion Detection Architecture for Social Robots

Emotion-based Architecture for Social Interactive Robots

Emotion Modelling for Social Robots

This chapter describes current advances in emotion modelling for social robots. It begins by contextualising the role of emotions in social robots, considering the concept of the Affective Loop. It describes a number of elements for the synthesis and expression of emotions through robotic embodiments and provides an overview of the area of emotional adaptation and empathy in social robots.

Software Architecture for Social Robots

People are striving for easy, natural interfaces. Robotic user interfaces aim at providing this kind of interface by using human like interaction modalities. However, many applications fail, not because of fundamental problems of addressing social interaction but due to an unbalanced design. In this paper we derive a balancing framework for designing robotic user interfaces that balances four k...

A Passive Learning Sensor Architecture for Multimodal Image Labeling: An Application for Social Robots

Object detection and classification have countless applications in human-robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vision, social robots performing non-trivial tasks usually spend most of their time finding and modeling objects. Working in real scenarios means deali...

Master internship position to ll Multimodal merging for social robots

To have a consistent perception of its surrounding world, an agent has to continuously merge the data ows coming from its various sensors. Multiple studies were done in animals and humans to understand this process at the neuronal and behavioral levels [5]. Especially, it looks like humans are able to merge data in a statistically optimal fashion [2]. Through this internship, the selected candi...