Difference between revisions of "Vvv14 demos and final presentations"

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(Floating base dynamics EKF (extended kalman filter))
(Xperience)
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== Xperience ==
 
== Xperience ==
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[[File:VVV14-Xperience.pdf|thumbnail|Learning action representations ]]
  
 
== MPC - Merge Point Clouds ==
 
== MPC - Merge Point Clouds ==

Revision as of 17:33, 30 July 2014

Sign up here for final presentations and demos. We invite you to describe what you have done during the school, you can show a demo with the real robot or the simulator or a video or just a couple of slides.

Wysiwyd

File:WYSIWYD Pres VV14 novideos.pdf

Poeticon

Xperience

File:VVV14-Xperience.pdf

MPC - Merge Point Clouds

Human Robot Interaction - Eye Tracking

Emergence of "Behaviors"

Self state/action/observation mapping through self experiences motivated by basic needs...

Visually guided grasping

Floating base dynamics EKF (extended kalman filter)

We investigated the problem of estimating the state of a floating base rigid body. The results of this investigation are reported in this brief presentation File:EKFpresentation.pdf. The numerical experiments were conducted in matlab using nice EKF/UKF toolbox (EKF/UKF software website).

MexInterface to WBI Model

Incremental Learning applications on iCub using the GURLS++ package

File:Project.pdf

The Torque Controller for the iCub Balancing On Single Support

Optimal control for iCub COM motion