Humanoid robot hierarchical navigation using Petri nets and fuzzy logic

Federico Furlán, Elsa Rubio, Humberto Sossa, Victor Ponce

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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).

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1521-1526
Number of pages6
ISBN (Electronic)9784907764579
DOIs
StatePublished - 10 Nov 2017
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 19 Sep 201722 Sep 2017

Publication series

Name2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volume2017-November

Conference

Conference56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Country/TerritoryJapan
CityKanazawa
Period19/09/1722/09/17

Keywords

  • Fuzzy Logic
  • Humanoid robot
  • Hybrid techniques
  • Petri nets
  • Robot navigation

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