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International Workshop on Symbiotic Interaction

Symbiotic 2015: Symbiotic Interaction pp 127–132Cite as

A Multi-touch Interface for Multi-robot Path Planning and Control

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8820))

Abstract

In the last few years, research in human-robot interaction has moved beyond the issues concerning the design of the interaction between a person and a single robot. Today many researchers have shifted their focus toward the problem of how humans can control a multi-robot team. The rising of multi-touch devices provides a new range of opportunities in this sense. Our research seeks to discover new insights and guidelines for the design of multi-touch interfaces for the control of biologically inspired multi-robot teams. We have developed an iPad touch interface that lets users exert partial control over a set of autonomous robots. The interface also serves as an experimental platform to study how human operators design multi-robot motion in a pursuit-evasion setting.

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Author information

Authors and Affiliations

  1. HIIT and Department of Computer Science, University of Helsinki, Helsinki, Finland

    Salvatore Andolina

  2. HCII and School of Design, Carnegie Mellon University, Pittsburgh, USA

    Jodi Forlizzi

Authors
  1. Salvatore Andolina
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  2. Jodi Forlizzi
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Corresponding author

Correspondence to Salvatore Andolina .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Helsinki Institute for Information Technology HIIT, University of Helsinki, Helsinki, Finland

    Giulio Jacucci

  2. University of Padua, Padua, Italy

    Luciano Gamberini

  3. Department of Psychology, Goldsmiths - University of London, London, United Kingdom

    Jonathan Freeman

  4. University of Padua, Padua, Italy

    Anna Spagnolli

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© 2014 Springer International Publishing Switzerland

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Andolina, S., Forlizzi, J. (2014). A Multi-touch Interface for Multi-robot Path Planning and Control. In: Jacucci, G., Gamberini, L., Freeman, J., Spagnolli, A. (eds) Symbiotic Interaction. Symbiotic 2015. Lecture Notes in Computer Science(), vol 8820. Springer, Cham. https://doi.org/10.1007/978-3-319-13500-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-13500-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13499-4

  • Online ISBN: 978-3-319-13500-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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