Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …

In our daily conversation, we obtain considerable information from our interlocutor's non-
verbal behaviors, such as gaze and gestures. Several studies have shown that nonverbal …

Model-based approaches aiming to characterize human behavior when interacting with a
controlled machine have been a matter of research investigation in various domains, from …

In modern applied research concerning human-machine interaction, the possibility of
increasing the degree of intelligence and dexterity of the controlled plant by imitating human …

Most of the works use sensor to recognize human gesture and teleoperate robot in real time
for different usage. One of the purpose is social learning which human learn behavior and …

Gesture learning and recognition are essential challenges for developing human friendly
robots. Classification methods and machine learning technics have been used to classify …

The study of human-machine interaction as a unique control system has been one of the first
research interests in engineering, with almost a century of years since the first works. At the …

As the airbag of a flexible robot is affected by external environmental factors during the
profiling process, there are many uncertainties in the process of deformation of the airbag …

This paper proposes a method of imitative motion generation for smart device interlocked
robot partner. Imitation is an essential ability for robot partners to provide human like …

Del desempeño de las antenas depende el nivel de potencia recibido en el equipo receptor,
el nivel de la potencia de interferencia en el receptor, etc., en sistemas inalámbricos de …