Robots show up frequently in new applications in our daily lives where they interact more
and more closely with the human user. Despite a long history of research, existing cognitive …

In this paper, we present CAIO, a Cognitive and Affective Interaction-Oriented architecture
for social human-robot interactions (HRI), allowing robots to reason on mental states …

The ability to reason for itself and make decisions for its own actions is a highly desirable
ability for robots engaged in human-robot interaction (HRI). By being able to perceive the …

Robots involved in HRI should be able to adapt to their partners by learning to select
autonomously the behaviors that maximize the pleasantness of the interaction for them. To …

One of the main challenges of social robots concerns the ability to guarantee robust,
contextualized and intelligent behavior capable of supporting continuous and personalized …

Cognition represents one of the most important and highly desirable abilities for robots
engaged in human-robot interaction (HRI). An ultimate goal is to have a robot that can …

During the past decades, the interplay between humans and robots has been investigated in
the field of human-robot interaction (HRI). This research has provided fascinating results on …

Developments in autonomous agents for Human-Robot Interaction (HRI), particularly social,
are gathering pace. The typical approach to such efforts is to start with an application to a …

In this video, we present the human robot interaction generated by applying the DAC
cognitive architecture on the iCub robot. We demonstrate how the robot reacts and adapts to …

To advance the task of designing robots capable of performing collective tasks with humans,
studies in human–robot interaction often turn to psychology, philosophy of mind and …