Personalized federated learning (PFL) is an exciting approach that allows machine learning
(ML) models to be trained on diverse and decentralized sources of data, while maintaining …

Socially aware robot navigation is gaining popularity with the increase in delivery and
assistive robots. The research is further fueled by a need for socially aware navigation skills …

Social navigation is the capability of an autonomous agent, such as a robot, to navigate in a
“socially compliant” manner in the presence of other intelligent agents such as humans. With …

A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …

The human-robot interaction community has developed many methods for robots to navigate
safely and socially alongside humans. However, experimental procedures to evaluate these …

In the fight against COVID-19, many robots replace human employees in various tasks that
involve a risk of infection. Among these tasks, the fundamental problem of navigating robots …

Robots moving safely and in a socially compliant manner in dynamic human environments
is an essential benchmark for long-term robot autonomy. However, it is not feasible to learn …

Enabling socially acceptable behavior for situated agents is a major goal of recent robotics
research. Robots should not only operate safely around humans, but also abide by complex …

Sociability is essential for modern robots to increase their acceptability in human
environments. Traditional techniques use manually engineered utility functions inspired by …

As social robots become increasingly integrated into daily life, ensuring their behaviours
align with social norms is crucial. For their widespread open-world application, it is important …