This article surveys reinforcement learning approaches in social robotics. Reinforcement
learning is a framework for decision-making problems in which an agent interacts through …

Reinforcement learning agent learns how to perform a task by interacting with the
environment. The use of reinforcement learning in real-life applications has been limited …

Social robots and their novel applications are slowly emerging to become an indispensable
part of society and businesses. While the field of social robotics has been very …

As a great number of robotic products are entering people's lives, the question of how can
they behave in order to sustain long-term interactions with users becomes increasingly more …

Purpose On the verge of what has been hailed as the next technological revolution, the
purpose of this paper is to examine scientific and popular definitions of the social robot …

Prior research has demonstrated the importance of children's peers for their learning and
development. In particular, peer interaction, especially with more advanced peers, can …

In this paper we present the results of a qualitative study with therapists to inform social
robotics and human robot interaction (HRI) for engagement in rehabilitative therapies. Our …

This paper offers a case study in undertaking a mutual sha** approach to the design of
socially assistive robots. We consider the use of social robots in therapy, and we present our …