Hiding task-oriented programming complexity: an industrial case study
Abstract
The ease of use of robot programming interfaces represents a barrier to robot adoption in several manufacturing sectors because of the need for more expertise from the end-users. Current robot programming methods are mostly the past heritage, with robot programmers reluctant to adopt new programming paradigms. This work aims to evaluate the impact on non-expert users of introducing a new task-oriented programming interface that hides the complexity of a programming framework based on ROS. The paper compares the programming performance of such an interface with a classic robot-oriented programming method based on a state-of-the-art robot teach pendant. An experimental campaign involved 22 non-expert users working on the programming of two industrial tasks. Task-oriented and robot-oriented programming showed comparable learning time, programming time and the number of questions raised during the programming phases, highlighting the possibility of a smooth introduction to task-oriented programming even to non-expert users.
Cite
@article{arxiv.2303.02340,
title = {Hiding task-oriented programming complexity: an industrial case study},
author = {Enrico Villagrossi and Michele Delledonne and Marco Faroni and Manuel Beschi and Nicola Pedrocchi},
journal= {arXiv preprint arXiv:2303.02340},
year = {2023}
}
Comments
This article has been accepted for publication in the International Journal of Computer Integrated Manufacturing, published by Taylor & Francis