This paper presents a new framework for how autonomous social robots approach and accompany people in urban environments. The method discussed allows the robot to accompany a person and approach to other one, by adapting ...

We proposed a novel Aerial Social Force Model (ASFM) that allows autonomous flying robots to accompany humans in urban environments in a safe and comfortable manner. To date, we are not aware of other state-of-the-art ...

This paper presents the design of deep learning architectures which allow to classify the social relationship existing between two people who are walking in a side-by-side formation into four possible categories --colleagues, ...

In this work we present a novel attention deep learning model that uses context and human intention for 3D human body motion prediction in handover human-robot tasks. This model uses a multi-head attention architecture ...

The objective of this research is to optimize robots cooperative work and obtain the minimum displacement of humans in a guiding people mission, where some individuals can escape from the formation and must be regrouped ...

This study proposes a new model for guiding people in urban settings using multiple robots that work cooperatively. More speci cally, this investigation describes the circumstances in which people might stray from the ...

We present a new model for people guidance in urban settings using several mobile robots, that overcomes the limitations of existing approaches, which are either tailored to tightly bounded environments, or based on ...

The collaboration between humans and robots in an object search task requires the achievement of shared plans obtained from communicating and negotiating. In this work, we assume that the robot computes, as a first step, ...

This article introduces “Baby Robot”, a robot designed to improve infants’ and toddlers’ motor skills. This robot is a car-like toy that moves autonomously by using reinforcement learning and computer vision. Its behaviour ...