Posts Tagged ‘lego’

Sjef Franse: Connecting LEGO NXT to Internet

January 15th, 2010 Comments off


As a result of the Master class “LEGO beyond toys”, Sjef Franse, one of our master students, created a lego brick “WifiBlock” that connects the NXT to the Internet. The complete hardware and software design is described in his report:


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Developing Novel Extensions to Support Prototyping for Interactive Social Robots

November 1st, 2009 Comments off

Martijn ten Bhömer, Christoph Bartneck, Jun Hu, Rene Ahn, Tuyls, Karl, Frank Delbressine, and Loe Feijs

Abstract – Lego Mindstorms NXT is a platform highly suitable for prototyping in the field of interactive social robotics. During a technology masterclass at Eindhoven University of Technology students from the department of Industrial Design have developed five novel extensions (sensors and actuators) for the Lego Mindstorms NXT which extend the ability of Lego to prototype for robotics even further. Applications include a water-pump, GPS sensor, wireless sensor bridge, optical mouse sensor and a magnetic grabber. In this paper we will present these extensions and showcase applications in which these extend possibilities of Lego Mindstorms NXT to a new level.

Keywords: robot, Lego, Mindstorms, NXT, social, prototyping

M. t. Bhomer, C. Bartneck, J. Hu, R. Ahn, K. Tuyls, F. Delbressine, and L. Feijs, “Developing Novel Extensions to Support Prototyping for Interactive Social Robots,” in 21st Benelux Conference on Artificial Intelligence (BNAIC 2009), Eindhoven, The Netherlands, 2009, pp. 11-17.
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Teaching Machine Learning to Design Students

June 30th, 2008 Comments off

Bram van der Vlist, Rick van de Westelaken, Christoph Bartneck, Jun Hu, Rene Ahn, Emilia Barakova, Frank Delbressine, and Loe Feijs

Abstract – 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.

Keywords: teaching, machine learning, design, lego

B. van der Vlist, R. van de Westelaken, C. Bartneck, J. Hu, R. Ahn, E. Barakova, F. Delbressine, and L. Feijs, “Teaching Machine Learning to Design Students,” Technologies for E-Learning and Digital Entertainment, Lecture Notes in Computer Science Series, 5093/2008, Z. Pan, X. Zhang, A. E. Rhalibi et al., eds., pp. 206-217, Nanjing, China: Springer Berlin / Heidelberg, 2008.
DOI: 10.1007/978-3-540-69736-7_23

Pattern Recognition LEGO

November 6th, 2007 Comments off

I was really satisfied with what the master students have achieved last week. They have done
more than I expected during that “pattern recognition” week – in their hands the
LEGO can even do OCR and Speech Recognition. They consolidated their knowledge of
machine learning and neural networks that were learnt from previous weeks, and used these techniques for pattern recognition.


Read more…

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