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 …

Automated guided vehicles (AGVs) have recently acquired a lot of interest in the academic
research field and industry applications due to a variety of advantages, including increased …

In this paper, the ability of ChatGPT v3. 5 to distinguish mis/disinformation against legitimate
news content is tested using the current standard fake news test designed for human subject …

Human body motion prediction is a fundamental part of many human-robot applications.
Despite the recent progress in the area, most studies predict human body motion relative to …

Pedestrian trajectory prediction is essential for collision avoidance in autonomous driving,
which can help autonomous vehicles have a better understanding of traffic environment and …

Reasoning about the motions of other objects is important for moving platforms such as
intelligent vehicles. In this paper, we propose a pedestrian trajectory prediction approach …

For a mobile robot, navigation skills that are safe, efficient, and socially compliant in
crowded, dynamic environments are essential. This is a particularly challenging problem as …

Precise tracking of a point-target on a nonlinear trajectory is challenging and has
applications ranging from traffic analysis to microscopic particle tracking. To solve such a …

In this paper, pedestrian path prediction at a signalized crosswalk with pedestrian-electric
bicycle-vehicle mixed flow is investigated. Firstly, a waiting/crossing decision model …

As-built assessment of transport hubs, based on large-scale simulation and passenger big
data, has been an active area of research recently. Exploring the direction of crowd flow at …