Aquila running mutiple time-scales recurrent neural network on iCub humanoid robot





Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Uploaded on Nov 2, 2010


This video demonstrates how Aquila trains and runs multiple time-scales recurrent neural networks used to control humanoid robot iCub (http://www.robotcub.org/) in real time.

The results shown in this video are from the initial tests only and are meant to demonstrate the potential of neural system (based on Jun Tani's architecure) as well as the massive speed-ups achieved by running the network on parallel CUDA devices such as the latest NVidia Fermi architecture.

I am currently working on extending the neural system with additional modalities dealing with vision, extra proprioception as well as language so keep eyes on my site for new results. I reckon it is going to get more interesting as we proceed farther with our investigation into how actions and language co-develop in the brain.


When autoplay is enabled, a suggested video will automatically play next.

Up next

to add this to Watch Later

Add to

Loading playlists...