Spatial relationship between objects in an image can help to gain a deep understanding of
the image. At present, spatial relationship recognition has received more and more …

Recognizing human actions is a vital task for a humanoid robot, especially in domains like
programming by demonstration. Previous approaches on action recognition primarily …

In this paper, we propose a supervised learning approach based on an Artificial Neural
Network (ANN) model for real-time classification of subtasks in a physical human–robot …

Robot understanding of spatial object relations is key for a symbiotic human-robot
interaction. Understanding the meaning of such relations between objects in a current scene …

Abstract Human Activity Recognition in RGB-D videos has been an active research topic
during the last decade. However, only a few efforts have been made, for recognizing human …

The utilization of robots in computer, communication, and consumer electronics (3C)
assembly has the potential to significantly reduce labor costs and enhance assembly …

Observational learning is a promising approach to enable people without expertise in
programming to transfer skills to robots in a user-friendly manner, since it mirrors how …

Learning manipulation skills from observing human demonstration videos is a promising
aspect for intelligent robotic systems. Recent advances in video to command provide an end …

Understanding spatial relations is a key element for natural human-robot interaction.
Especially, a robot must be able to manipulate a given scene according to a human verbal …

Predicting other people's upcoming action is key to successful social interactions. Previous
studies have started to disentangle the various sources of information that action observers …