Artículo
Human-Robot Interaction: Legible behavior rules in passing and crossing events
Herrera Anda, Daniel Esteban
; Roberti, Flavio
; Toibero, Juan Marcos
; Carelli Albarracin, Ricardo Oscar
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Fecha de publicación:
06/2016
Editorial:
Institute of Electrical and Electronics Engineers
Revista:
IEEE Latin America Transactions
e-ISSN:
1548-0992
Idioma:
Español
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
In human-robot interaction, the incorporation of social rules results to be crucial to guarantee the comfort of the human. It must be obtained by means of improving the legibility of the robot motions, because developing soft and smooth motion does not guarantee entirely a social acceptable motion. Hence, in this paper a novel fuzzy logic approach is proposed to incorporate social rules in walking events, where the relative positions, orientations, distances and velocities between the robots and the humans are considered. Additionally to verify its performance, its incorporation in a path-following control through social forces is proposed. The simulation results demonstrate that the system is able to overcome many usual interferer situations, and to adapt its behavior to different interference events over time.
Palabras clave:
Fuzzy Logic
,
Human Robot Interaction
,
Mobile Robots
,
Social Rules
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Licencia
Identificadores
Colecciones
Articulos(INAUT)
Articulos de INSTITUTO DE AUTOMATICA
Articulos de INSTITUTO DE AUTOMATICA
Citación
Herrera Anda, Daniel Esteban; Roberti, Flavio; Toibero, Juan Marcos; Carelli Albarracin, Ricardo Oscar; Human-Robot Interaction: Legible behavior rules in passing and crossing events; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 6; 6-2016; 2644-2650
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