Towards Understanding How Humans Teach Robots

Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Ian R. Fasel, Thomas J. Walsh, Paul R. Cohen

Resultado de la investigación: Otra contribuciónrevisión exhaustiva

16 Citas (Scopus)

Resumen

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.

Idioma originalInglés estadounidense
EditorSpringer
Número de páginas347
ISBN (versión impresa)978-3-642-22361-7
ISBN (versión digital)978-3-642-22362-4
DOI
EstadoPublicada - 2011

Series de publicaciones

NombreLecture Notes in Computer Science
EditorSpringer
Volumen6787

Huella

Profundice en los temas de investigación de 'Towards Understanding How Humans Teach Robots'. En conjunto forman una huella única.

Citar esto