DTCNN implementation in a LEGO Mindstorm NXT for infrared and ultrasonic sensor data processing

Author

Albo-Canals, J. ; Consul-Pacareu, S. ; Riera-Babures, J. ; Vilasis-Cardona, X.

Author_Institution

LIFAELS, La Salle - Univ. Ramon Llull, Barcelona, Spain

fYear

2010

fDate

3-5 Feb. 2010

Firstpage

1

Lastpage

2

Abstract

This paper presents an implementation of a DTCNN, programmed entirely in LEGO Mindstorms NXT robot to, together with perceptron, guide a robot avoiding obstacles. The map will be processed DTCNN obtained from ultrasonic and infrared sensors. The main objective of this implementation is to demonstrate the feasibility of implementing these and other applications of the CNN with Minstorm LEGO NXT.

Keywords

cellular neural nets; collision avoidance; discrete time systems; optical tracking; robot vision; robots; ultrasonic applications; DTCNN implementation; LEGO mindstorm NXT; LEGO mindstorms NXT robot; discrete time cellular neural network; infrared sensor data processing; robot obstacle avoidance; ultrasonic sensor data processing; Cellular neural networks; Communication system control; Data processing; Infrared sensors; Path planning; Process control; Robot sensing systems; Sensor systems; Ultrasonic variables measurement; Wavelength measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on

Conference_Location

Berkeley, CA

Print_ISBN

978-1-4244-6679-5

Type

conf

DOI

10.1109/CNNA.2010.5430335

Filename

5430335