Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Over decades, social robotics has evolved as a concept that presently covers different areas
of application, and interacts with different domains in technology, education, medicine and …

Safe and social navigation is the key to deploying a mobile service robot in a human-
centered environment. Widespread acceptability of mobile service robots in daily life is …

We propose a unified framework for approaching pose prediction, and socially aware robot
navigation, which enables a mobile service robot to safely and socially approach a dynamic …

We propose an effective human comfortable safety framework enabling a mobile service
robot to navigate safely and socially in social environments. The proposed framework takes …

This work presents an approach for learning navigation behaviors for robots using Optimal
Rapidly-exploring Random Trees (RRT^*∗) as the main planner. A new learning algorithm …

This conceptual paper presents a novel framework for the design and study of social robots
that support well-being. Building upon the self-determination theory and the associated …

Scene graph generation from images is a task of great interest to applications such as
robotics, because graphs are the main way to represent knowledge about the world and …

In the context of Human-Robot Interaction (HRI), face Re-Identification (face Re-ID) aims to
verify if certain detected faces have already been observed by robots. The ability of …

Caregivers in eldercare can benefit from telepresence robots that allow them to perform a
variety of tasks remotely. In order for such robots to be operated effectively and efficiently by …