Lego Mindstorms NXT Brick Sorter 8527

Posted by admin on October 6th, 2009 and filed under nxt building instructions | 25 Comments »

This brick sorting robot can be made from the NXT retail kit.
I have made building instructions for it as well.
Please go to my website for building instructions.
http://www.freewebs.com/laurens200/

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Technorati Tags: 8527, brick, LEGO, light, machine, Mindstorms, NXT, robot, sensor, sort, sorter, sorting

LEGO Mindstorms NXT scanbot

Posted by admin on October 6th, 2009 and filed under nxt programming | 25 Comments »

This is a LEGO machine that performs a scan of a black and white image. It puts the scanned picture on the NXT display.

Designed, built and programmed by Jonathan Daudelin.

Building and programming instructions for this robot can be found in ‘the NXT Idea book’.
http://www.thenxtstep.blogspot.com

Search Amazon.com or google to buy this book.
Within the Netherlands you can order it at:
http://www.postorderboekhandel.nl/object/9781593271503/

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Technorati Tags: LEGO, machine, Mindstorms, NXT, program, robot, Scanner

Teaching Machine Learning to Design Students

Posted by admin on September 28th, 2009 and filed under teaching with LEGO NXT | No Comments »

Machine learning is a key technology to design and create intelligent systems, products, and related services. Like many other design departments, we are faced with the challenge to teach machine learning to design students, who often do not have an inherent affinity towards technology. We successfully used the Embodied Intelligence method to teach machine learning to our students. By embodying the learning system into the Lego Mindstorm NXT platform we provide the student with a tangible tool to understand and interact with a learning system. The resulting behavior of the tangible machines in combination with the positive associations with the Lego system motivated all the students. The students with less technology affinity successfully completed the course, while the students with more technology affinity excelled towards solving advanced problems. We believe that our experiences may inform and guide other teachers that intend to teach machine learning, or other computer science related topics, to design students.