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Visual trajectory control of a mobile robot using FPGA implemented neural network

  • Metaadatok
Tartalom: http://real.mtak.hu/66982/
Archívum: MTA Könyvtár
Gyűjtemény: Status = Published

Type = Article
Cím:
Visual trajectory control of a mobile robot using FPGA implemented neural network
Létrehozó:
Brassai, Sándor
Bakó, László
Kiadó:
Akadémiai Kiadó
Dátum:
2009
info:eu-repo/date/embargoEnd/2029-12-31
Téma:
TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
Tartalmi leírás:
In the paper hardware implemented artificial neural network used for trajectory control of a mobile robot is presented. As a controller RBF (Radial Basis Function) type hardware implemented artificial neural network has been used. There are presented the structure of the neural network implemented on an FPGA system, the main modules of the system, the on chip training.As a robot, a mobile robot with three wheels has been chosen. The left and right side wheels are driven by DC motors and the third one is a free-wheel. The robot position is determined from the image sequence captured by a camera. Finally, measurement results based on the robot model and on the real system will be presented.
Nyelv:
magyar
Típus:
Article
PeerReviewed
info:eu-repo/semantics/article
Formátum:
text
Azonosító:
Brassai, Sándor and Bakó, László (2009) Visual trajectory control of a mobile robot using FPGA implemented neural network. Pollack Periodica, 4 (3). pp. 129-142. ISSN 1788-1994
Kapcsolat:
https://doi.org/10.1556/Pollack.4.2009.3.12
Létrehozó:
info:eu-repo/semantics/embargoedAccess