Browse wiki

From MurrayWiki
Jump to: navigation, search
Learning diffeomorphism models of robotic sensorimotor cascades
Abstract The problem of bootstrapping consists in d …
The problem of bootstrapping consists in designing agents that can learn from scratch the model of their sensori- motor cascade (the series of robot actuators, the external world, and the robot sensors) and use it to achieve useful tasks. In principle, we would want to design agents that can work for any robot dynamics and any robot sensor(s). One of the difficulties of this problem is the fact that the observations are very high dimensional, the dynamics is nonlinear, and there is a wide range of "representation nuisances" to which we would want the agent to be robust. In this paper, we model the dynamics of sensorimotor cascades using diffeomorphisms of the sensel space. We show that this model captures the dynamics of camera and range-finder data, that it can be used for long-term predictions, and that it can capture nonlinear phenomena such as a limited field of view. Moreover, by analyzing the learned diffeomorphisms it is possible to recover the "linear structure" of the dynamics in a manner which is independent of the commands representation.
ndependent of the commands representation.  +
Authors Andrea Censi and Richard M. Murray  +
ID 2011i  +
Source Submitted, 2012 International Conference on Robotics and Automation  +
Tag cm12-icra  +
Title Learning diffeomorphism models of robotic sensorimotor cascades +
Type Conference Paper  +
Categories Papers
Modification date
This property is a special property in this wiki.
15 May 2016 06:16:02  +
URL
This property is a special property in this wiki.
http://www.cds.caltech.edu/~murray/preprints/cm12-icra_s.pdf  +
hide properties that link here 
Learning diffeomorphism models of robotic sensorimotor cascades + Title
 

 

Enter the name of the page to start browsing from.