Humanoid robot hierarchical navigation using Petri nets and fuzzy logic

Federico Furlán, Elsa Rubio, Humberto Sossa, Victor Ponce

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

This paper presents a supervisory control system for humanoid robot motion planning. The proposed system is a supervisory structure formed by two hierarchical levels of a discrete event system. The high level system is represented by a Petri net. This Petri net behaves as a supervisor that indicates the sequence of motions that the robot has to make. A robot walking in a closed space forms the lower level. The robot decisions are modeled by a fuzzy logic configuration using a Fuzzy Inference System (FIS).

Idioma originalInglés
Título de la publicación alojada2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1521-1526
Número de páginas6
ISBN (versión digital)9784907764579
DOI
EstadoPublicada - 10 nov. 2017
Evento56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japón
Duración: 19 sep. 201722 sep. 2017

Serie de la publicación

Nombre2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volumen2017-November

Conferencia

Conferencia56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
País/TerritorioJapón
CiudadKanazawa
Período19/09/1722/09/17

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