Within convolutional neural networks, convolutional operations are good at extracting local
features, but have difficulty in capturing global representations. For Vision Transformer, multi …

This paper presents a human–robot interaction system (HRIS) that utilizes human
perception and action recognition to enable the robot to understand human intentions and …

Collaborative robots are increasingly present in industry to support human activities.
However, to make the human–robot collaborative process more effective, there are several …

The new industrial settings are characterized by the presence of human and robots that work
in close proximity, cooperating in performing the required job. Such a collaboration …

In the context of Human-Robot Collaboration (HRC), it is crucial that the two actors are able
to communicate with each other in a natural and efficient manner. The absence of a …

In this work, we propose a gesture based language to allow humans to interact with robots
using their body in a natural way. We have created a new gesture detection model using …