SkiROS—A skill-based robot control platform on top of ROS

Francesco Rovida*, Matthew Crosby, Dirk Holz, Athanasios S. Polydoros, Bjarne Großmann, Ronald P.A. Petrick, Volker Krüger

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

26 Citationer (Scopus)

Abstrakt

The development of cognitive robots in ROS still lacks the support of some key components: a knowledge integration framework and a framework for autonomous mission execution. In this research chapter, we will discuss our skill-based platform SkiROS, that was developed on top of ROS in order to organize robot knowledge and its behavior. We will show how SkiROS offers the possibility to integrate different functionalities in form of skill ‘apps’ and how SkiROS offers services for integrating these skill-apps into a consistent workspace. Furthermore, we will show how these skill-apps can be automatically executed based on autonomous, goal-directed task planning. SkiROS helps the developers to program and port their high-level code over a heterogeneous range of robots, meanwhile the minimal Graphical User Interface (GUI) allows non-expert users to start and supervise the execution. As an application example, we present how SkiROS was used to vertically integrate a robot into the manufacturing system of PSA Peugeot-Citroën. We will discuss the characteristics of the SkiROS architecture which makes it not limited to the automotive industry but flexible enough to be used in other application areas as well. SkiROS has been developed on Ubuntu 14.04 LTS and ROS indigo and it can be downloaded at https://github.com/frovida/skiros. A demonstration video is also available at https://youtu.be/mo7UbwXW5W0.

OriginalsprogEngelsk
TitelRobot Operating System (ROS) : The Complete Reference
RedaktørerAnis Koubaa
Antal sider40
Vol/bind2
ForlagSpringer VS
Publikationsdato1 maj 2017
Sider121-160
ISBN (Trykt)978-3-319-54926-2
ISBN (Elektronisk)978-3-319-54927-9
DOI
StatusUdgivet - 1 maj 2017
NavnStudies in Computational Intelligence
Vol/bind707
ISSN1860-949X

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