Title :
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
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;
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
DOI :
10.1109/CNNA.2010.5430335
