In recent trends, artificial intelligence (AI) is used for the creation of complex automated
control systems. Still, researchers are trying to make a completely autonomous system that …

Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

WiFi-Fingerprint is extensively utilized for indoor localization with the advent of the high-
density wireless networks deployment and research on ubiquitous intelligence …

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 …

With the development of sensor and communication technologies, body sensor networks
(BSNs) have become an indispensable part of smart medical services by monitoring the real …

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

Learning how to navigate autonomously in an unknown indoor environment without
colliding with static and dynamic obstacles is important for mobile robots. The conventional …

As more robots are being deployed into human environments, a human-aware navigation
planner needs to handle multiple contexts that occur in indoor and outdoor environments. In …

Mobile robots struggle to integrate seamlessly in crowded environments such as pedestrian
scenes, often disrupting human activity. One obstacle preventing their smooth integration is …