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 …

The progress in the research of various areas of robotics, artificial intelligence, and other
similar scientific disciplines enabled the application of multi-robot systems in different …

Data-driven crowd modeling has now become a popular and effective approach for
generating realistic crowd simulation and has been applied to a range of applications, such …

Mobile robots are increasingly populating homes, hospitals, shopping malls, factory floors,
and other human environments. Human society has social norms that people mutually …

Cloud-Based Multi-Robot Path Planning in Complex and Crowded Environment Using
Fuzzy Logic and Online Learning Page 1 357 Information Technology and Control 2021/2/50 …

Intelligent vehicles and social robots need to navigate in crowded environments while
avoiding collisions with pedestrians. To achieve this, pedestrian trajectory prediction is …

Accuracy and safety are necessary characteristics in social navigation. These characteristics
still constitute a challenge in this area. Yet, human comfort is the main goal in interactions …

Forecasting human activities observed in videos is a long-standing challenge in computer
vision and robotics and is also beneficial for various real-world applications such as mobile …

A crowd density forecasting task aims to predict how the crowd density map will change in
the future from observed past crowd density maps. However, the past crowd density maps …

This paper presents the framework for a novel Unified Socially-Aware Navigation (USAN)
architecture and explains its need in Socially Assistive Robotics (SAR) applications. Our …