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 …

In this letter, we present a transformer-based architecture, namely TF-Grasp, for robotic
grasp detection. The developed TF-Grasp framework has two elaborate designs making it …

The competitiveness of modern companies depends today on the ability to implement
digitised technologies into production processes in human-friendly ways. The aim of this …

With the rapid development of intelligent systems, such as self-driving vehicles, service
robots and surveillance systems, pedestrian trajectory prediction has become a very …

Cyber–physical systems (CPSs) are evolving from individual systems to collectives of
systems that collaborate to achieve highly complex goals, realizing a cyber–physical system …

Aircraft trajectory prediction aims to estimate the future movements of aircraft in a scene,
which is a crucial step for intelligent air traffic management such as capacity estimation and …

As robots across domains start collaborating with humans in shared environments,
algorithms that enable them to reason over human intent are important to achieve safe inter …

Accurate trajectory prediction of surrounding agents is an important issue for building up an
intelligent transportation system. Frequent interactions among agents have a major impact …

Mobile robots need to navigate in crowded environments to provide services to humans.
Traditional approaches to crowd-aware navigation decouple people motion prediction from …

Achieving social acceptance is one of the main goals of Social Robotic Navigation. Despite
this topic has received increasing interest in recent years, most of the research has focused …