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Johnny: An Autonomous Service Robot for Domestic Environments

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Abstract

In this article we describe the architecture, algorithms and real-world benchmarks performed by Johnny Jackanapes, an autonomous service robot for domestic environments. Johnny serves as a research and development platform to explore, develop and integrate capabilities required for real-world domestic service applications. We present a control architecture which allows to cope with various and changing domestic service robot tasks. A software architecture supporting the rapid integration of functionality into a complete system is as well presented. Further, we describe novel and robust algorithms centered around multi-modal human robot interaction, semantic scene understanding and SLAM. Evaluation of the complete system has been performed during the last years in the RoboCup@Home competition where Johnnys outstanding performance led to successful participation. The results and lessons learned of these benchmarks are explained in more detail.

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Authors and Affiliations

  1. Bonn-Rhine-Sieg University of Applied, Sciences, Grantham-Allee 20, 53757, Sankt Augustin, Germany

    Thomas Breuer, Geovanny R. Giorgana Macedo, Ronny Hartanto, Nico Hochgeschwender, Dirk Holz, Frederik Hegger, Zha Jin, Christian Müller, Jan Paulus, Michael Reckhaus, José Antonio Álvarez Ruiz, Paul G. Plöger & Gerhard K. Kraetzschmar

  2. DFKI—Robotics Innovation Center, Bremen, 28359, Germany

    Ronny Hartanto

  3. Rheinische Friedrich-Wilhelms-Universität, Bonn, 53113, Germany

    Dirk Holz

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  1. Thomas Breuer
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Correspondence to Nico Hochgeschwender.

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Breuer, T., Giorgana Macedo, G.R., Hartanto, R. et al. Johnny: An Autonomous Service Robot for Domestic Environments. J Intell Robot Syst 66, 245–272 (2012). https://doi.org/10.1007/s10846-011-9608-y

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