Johnny: An Autonomous Service Robot for Domestic Environments

  • Authors:
  • 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

  • Affiliations:
  • Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757 and DFKI--Robotics Innovation Center, Bremen, Germany 28359;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757 and Rheinische Friedrich-Wilhelms-Universität, Bonn, Germany 53113;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757;Bonn-Rhine-Sieg University of Applied, Sciences, Sankt Augustin, Germany 53757

  • Venue:
  • Journal of Intelligent and Robotic Systems
  • Year:
  • 2012

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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.