TY - GEN
T1 - Use of machine vision in collaborative robotics
T2 - 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
AU - Tellaeche, Alberto
AU - Maurtua, Inaki
AU - Ibarguren, Aitor
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/3
Y1 - 2016/11/3
N2 - Robotic applications are evolving to a paradigm of collaborative robotics, where human workers and compliant robots work together to solve complex tasks, until now done fully manually. These tasks also present another challenging issue for the use of robotics, variability in part and tool positions, in robot placement and even in the targets for the robot operation. To comply with all this uncertainties while solving the work efficiently, the robot needs to be equipped with sensors that allow it perceive the environment. For this, machine vision techniques in all its variants (2D, 3D, point clouds) becomes fundamental. This paper outlines a real industrial case of collaborative robotics, and the details of use of machine vision techniques to cope with variability and uncertainties. The industrial case presented has been developed as part of the EuRoC European project, under the 7th European Framework.
AB - Robotic applications are evolving to a paradigm of collaborative robotics, where human workers and compliant robots work together to solve complex tasks, until now done fully manually. These tasks also present another challenging issue for the use of robotics, variability in part and tool positions, in robot placement and even in the targets for the robot operation. To comply with all this uncertainties while solving the work efficiently, the robot needs to be equipped with sensors that allow it perceive the environment. For this, machine vision techniques in all its variants (2D, 3D, point clouds) becomes fundamental. This paper outlines a real industrial case of collaborative robotics, and the details of use of machine vision techniques to cope with variability and uncertainties. The industrial case presented has been developed as part of the EuRoC European project, under the 7th European Framework.
KW - collaborative robotics
KW - human robot interaction
KW - machine vision
UR - https://www.scopus.com/pages/publications/84996520516
U2 - 10.1109/ETFA.2016.7733689
DO - 10.1109/ETFA.2016.7733689
M3 - Conference contribution
AN - SCOPUS:84996520516
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 September 2016 through 9 September 2016
ER -
