We present a framework that allows a robot manipulator to learn how to execute structured
tasks from human demonstrations. The proposed system combines physical human–robot …

A robot system that is designed to coexist with humans has to adapt its behavior and social
interaction parameters (for example, the interaction distances and the speed of movements) …

Social robots, when used for information providing, are able to affect humans'
trustworthiness and willingness to interact with them. In this work, we conducted an …

A robotic system that interacts with humans is expected to flexibly execute structured
cooperative tasks while reacting to unexpected events and behaviors. In this paper, we face …

This work attempts to provide a measure of the human affective state employing the analysis
of electroencephalographic (EEG) activity to accurately identify the psychological state of the …

The role of user-adaptive interfaces and interaction is widely recognized in the human–
computer interaction (HCI) community to improve the acceptance and naturalness in …

Several studies focused on single human activity recognition, while the classification of
group activities is still under-investigated. In this paper, we present an approach for …

Since the diagnosis of autism spectrum disorder (ASD) relies heavily on behavioral
observations by experienced clinician, we seek to investigate whether parts of this job can …

A human-robot interaction system should be capable of adapting the execution of
cooperative plans with respect to complex human activities and interventions. In this paper …

The existing procedures for autism spectrum disorder (ASD) diagnosis are often time
consuming and tiresome both for highly-trained human evaluators and children, which may …