Human–robot collaboration in industrial applications is a challenging robotic task. Human
working together with the robot at a workplace to complete a task may create unpredicted …

This paper proposes an inertial human motion tracking for robot programming by
demonstration (PbD). An original element called heading reset is proposed to catch the drift …

To achieve rapid and flexible deployment of robots in the finishing process of small batch
workpieces, this article proposes a framework for human-robot interactive (HRI) skill learning …

Learning from Demonstration (LfD) is a family of methods used to teach robots specific tasks.
It is used to assist them with the increasing difficulty of performing manipulation tasks in a …

Human-robot synergy enables new developments in industrial and assistive robotics
research. In recent years, collaborative robots can work together with humans to perform a …

The paper presents the possibilities of teaching a robot controller to perform operations of
autonomous segregation of objects differing in features that can be identified using a vision …

Machine learning, artificial intelligence and especially deep learning based approaches are
often used to simplify or eliminate the burden of programming industrial robots. Using these …

Referat przedstawia możliwości nauczenia systemu sterowania robota wykonywania
operacji autonomicznego sortowania obiektów różniących się cechami, które mogą być …

In the recent years, an increased interest towards industrial robots learning by human
demonstrations is observed. During multiple human demonstrations, two main problems …