| Título |
Humanoid Robot Hierarchical Navigation Using Petri Nets and Fuzzy Logic |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) 2017 |
| 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).
|
| Observaciones |
DOI: 10.23919/SICE.2017.8105756 |
| Lugar |
Kanazawa |
| País |
Japon |
| No. de páginas |
1521-1526 |
| Vol. / Cap. |
|
| Inicio |
2017-09-19 |
| Fin |
2017-09-22 |
| ISBN/ISSN |
9784907764579 |
