Tag Archives: computer vision

Setting Up TensorFlow and Jupyter (for the Brisbane.ai Tutorials)

The easiest way (I found) to setup TensorFlow on your system is by using a Docker install. Its advantages are that it just works out of the box, all dependencies are there and you can start building deep models within minutes! Warning: it does not allow you to accelerate the learning on a GPU though!!

So here are the steps required (on Mac):

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LunaRoo

LunaRoo, something hopping is in the air

We did it! After some busy days and weeks we did it! We sent a lunar payload proposal to the Google Lunar XPrize team of Part Time Scientists.

It’s called the LunaRoo! It is a hopping science platform for the moon designed by our team here at the Queensland University of Technology (QUT).

The LunaRoo is a hopping robot designed to exploit the Moon’s lower gravity to leap up to 20m above the surface. It is compact enough to fit within a 10cm cube, whilst providing unique observation and mission capabilities.

Find out more on the newly created webpage and/or Twitter:

http://tinyurl.com/QUTLunaRoo
http://twitter.com/QUTLunaRoo

“Toward Intelligent Humanoids”

We, the robotics group at IDSIA, are proud to announce the release of our new video Toward Intelligent Humanoids (aka The Story of Several Nerds and Their Adorable Baby Robot), which we invite you to view at our new IDSIA Robotics website: http://robotics.idsia.ch/im-clever/ (embed after the jump) Continue reading

Prospecting a Prospectus

Today it is exactly 13 months since I enrolled as a PhD student here in Lugano, at the Università della Svizzera Italiana (USI). It’s time to write my research prospectus, or at least try to find out what that is *uhm*
Although I am working for over a year here at IDSIA I have not yet a clear idea what I will do, but I heard that is normal in graduate school. So finally I set down and wrote up some ideas of what I want/can do in the next years to get my doctorate.
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Vision-eering

iCubRecently I have been working a lot on trying to make the iCub see things. A fully integrated computer vision or robotic vision system is a quite tricky mathematical and engineering problem. Here at IDSIA we were trying to develop an easy to use system that would allow to rapid prototyping (offline) vision modules for the iCub, mainly to detect and localise objects the robot is in later stages supposed to manipulate and interact with.
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Summer School 2011

Also this year I had the chance to attend a summer school, after ISRIS in 2009 and 2010 school at JAIST, I was going to this year’s Hands On Summer School on Neural Dynamics Approaches to Cognitive Robotics in Guimaraes, Portugal.

This school focused on the idea of Dynamic Neural Fields (similar but according to the presentations more powerful than Neural Network approaches) and how to use them in various robotic systems. The presentations, mainly given by researchers from the University of Bochum and Minho, ranged from computer science to neuroscience and included various applications, such as on mobile and humanoid robots (including the Nao and ARoS, a humanoid (upper body) robot built at Minho). The school ended with a project to be implemented (and yes there is a video of ARoS after the jump).

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