Title :
Intuitive robot tasks with augmented reality and virtual obstacles
Author :
Gaschler, Andre ; Springer, Maximilian ; Rickert, Markus ; Knoll, Aaron
Author_Institution :
Fortiss GmbH affiliated to Tech. Univ. Munchen, Munich, Germany
fDate :
May 31 2014-June 7 2014
Abstract :
Today´s industrial robots require expert knowledge and are not profitable for small and medium sized enterprises with their small lot sizes. It is our strong belief that more intuitive robot programming in an augmented reality robot work cell can dramatically simplify re-programming and leverage robotics technology in short production cycles. In this paper, we present a novel augmented reality system for defining virtual obstacles, specifying tool positions, and specifying robot tasks. We evaluate the system in a user study and, more specifically, investigate the input of robot end-effector orientations in general.
Keywords :
augmented reality; collision avoidance; end effectors; industrial robots; robot programming; augmented reality robot work cell; industrial robot; intuitive robot programming; intuitive robot task; robot end-effector orientation; robotics technology; small-and-medium sized enterprise; virtual obstacle; Collision avoidance; Programming; Robot kinematics; Service robots; Three-dimensional displays; Visualization;
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/ICRA.2014.6907747