DTCNN Implementation in a LEGO Mindstorm NXT for Infrared and Ultrasonic Sensor Data Processing

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

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

引用 2|浏览1

暂无评分

摘要

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.

查看译文

关键词

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

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要