This article presents a survey of literature in the area of Human–Robot Interaction (HRI),
specifically on systems containing more than two agents (ie, having multiple humans and/or …

Abstract Purpose of Review To discuss the current state of reproducibility of research in
human-robot interaction (HRI), challenges specific to the field, and recommendations for …

In retail settings, a robot's one-handed manipulation of objects can come across as
thoughtless and impolite, thus creating a negative customer experience. To solve this …

Analysing the dynamics in social interactions in indoor spaces entails evaluating spatial–
temporal variables from the event, such as location and time. Additionally, social interactions …

A reliable prediction of traffic participants' trajectories is challenging for automated driving.
We attempt to integrate human trajectory's temporal and spatial reciprocal consistency into …

Data-driven imitation learning enables service robots to learn social interaction behaviors,
but these systems cannot adapt after training to changes in the environment, such as …

Within the human-robot interaction (HRI) community, many researchers have focused on the
careful design of human-subjects studies. However, other parts of the community, eg, the …

In this thesis, we address various challenges related to optimal planning and task allocation
in a robot fleet supervised by remote human operators. The overarching goal is to enhance …

Data-driven imitation learning has been used to train social robots to interact with human
customers in service domains. However, up till now previous works on imitation learning of …

In this paper, we propose a minimum set of concepts and signals needed to track the social
state during Human-Robot Interaction. We look into the problem of complex continuous …