Internal:SOGP

From Brown University Robotics

(Difference between revisions)
Jump to: navigation, search
Line 1: Line 1:
-
=Description=
+
=SOGP=
-
This project exists to turn SOGP into a ROS node, so that people can use Dan Grollman's code for robotics learning.
+
-
=Point of Contact=
+
==Description==
 +
This project exists to turn Sparse Online Gaussian Processes (SOGP) into a ROS node, in order to provide fast approximate Gaussian Process regression in ROS. The basis of this work is Dan Grollman's implementation of Csato's thesis on SOGP. Our hope is that ROS users will use this code to do robot learning from demonstration or other types of function regression.
 +
 
 +
==Point of Contact==
jbutterf@cs.brown.edu
jbutterf@cs.brown.edu
-
=Authors=
+
==Authors==
Alex Tarvo
Alex Tarvo
Line 12: Line 14:
Dan Grollman
Dan Grollman
-
=Svn Pointer=
+
==Svn Pointer==
https://brown-ros-pkg.googlecode.com/svn/trunk/experimental/sogp
https://brown-ros-pkg.googlecode.com/svn/trunk/experimental/sogp
-
=Status=
+
==HowTo Link==
-
The ros node has been implemented by Alex Tarvo. However, the code and the make system need to be cleaned up.
+
[[Internal:SOGP Instructions]]
 +
 
 +
==Status==
 +
Alex Tarvo did the original documentation. Jesse has cleaned up the code, added compatibility with rosparam, and included the ability to save and load learned controllers. However, the codes need significantly better documentation and improved exception handling.

Revision as of 19:52, 2 June 2010

Contents

SOGP

Description

This project exists to turn Sparse Online Gaussian Processes (SOGP) into a ROS node, in order to provide fast approximate Gaussian Process regression in ROS. The basis of this work is Dan Grollman's implementation of Csato's thesis on SOGP. Our hope is that ROS users will use this code to do robot learning from demonstration or other types of function regression.

Point of Contact

jbutterf@cs.brown.edu

Authors

Alex Tarvo

Jesse Butterfield

Dan Grollman

Svn Pointer

https://brown-ros-pkg.googlecode.com/svn/trunk/experimental/sogp

HowTo Link

Internal:SOGP Instructions

Status

Alex Tarvo did the original documentation. Jesse has cleaned up the code, added compatibility with rosparam, and included the ability to save and load learned controllers. However, the codes need significantly better documentation and improved exception handling.