Towards robust human robot collaboration in industrial environments

Authors:
Batu Akan;Baran Çürüklü;Giacomo Spampinato;Lars Asplund
Affiliations:
Mälardalens Högskola,, Västeras, Sweden;Mälardalens Högskola,, Västeras, Sweden;Mälardalens Högskola, Västeras, Sweden;Mälardalens Högskola,, Västeras, Sweden
Venue:
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Year:
2010

Citing 2
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Abstract

In this paper a system, which is driven through natural language, that allows operators to select and manipulate objects in the environment using an industrial robot is proposed. In order to hide the complexities of robot programming we propose a natural language where the user can control and jog the robot based on reference objects in the scene. We used semantic networks to relate different types of objects in the scene.