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Hiding task-oriented programming complexity: an industrial case study
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DOI：10.1080/0951192X.2023.2203676.png)
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摘要
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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.
Keyword:
Intuitive robot programming
task-oriented programming
human-machine interaction
end-user robot programming
期刊
I
IF:
4
论文数:
2.3K
被引数:
3.4K
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