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Towards Understanding How Humans Teach Robots

  • Tasneem Kaochar
  • Raquel Torres Peralta
  • Clayton T. Morrison
  • Ian R. Fasel
  • Thomas J. Walsh
  • Paul R. Cohen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6787)

Abstract

Our goal is to develop methods for non-experts to teach complex behaviors to autonomous agents (such as robots) by accommodating “natural” forms of human teaching. We built a prototype interface allowing humans to teach a simulated robot a complex task using several techniques and report the results of 44 human participants using this interface. We found that teaching styles varied considerably but can be roughly categorized based on the types of interaction, patterns of testing, and general organization of the lessons given by the teacher. Our study contributes to a better understanding of human teaching patterns and makes specific recommendations for future human-robot interaction systems.

Keywords

Unmanned Aerial Vehicle Teaching Session Instruction Mode Teaching Task Teaching Style 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tasneem Kaochar
    • 1
  • Raquel Torres Peralta
    • 1
  • Clayton T. Morrison
    • 1
  • Ian R. Fasel
    • 1
  • Thomas J. Walsh
    • 1
  • Paul R. Cohen
    • 1
  1. 1.Department of Computer ScienceThe University of ArizonaTucsonUSA

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