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Monthly Archives: August 2013
Using Parallel Computation power of MATLAB easily
I want to show you how to use the power of parallel computation in MATLAB by a very simple example. I would write 3 functions first. The first function: Open a new script in MATLAB and enter the code bellow … Continue reading
Posted in Linux, MATLAB, Optimization, programming, Software, Ubuntu
Tagged basic, code, computation, easy, example, faster, for-loop, function, linux, Matlab, parallel, parallel computation, parallel matlab, parfor, script, tutorial, windows
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Playing with UWSim in ROS. Part. 2: Commanding the AUV
Check the previous post (part. 1) first. In order to move the AUV along the different axes you need to use the node, ‘setVehiclePosition’ inside the ‘UWSim’ package through topic ‘/dataNavigator’. It needs 6 arguments X Y Z roll pitch … Continue reading
Playing with UWSim in ROS – Part. 1 : Running UWSim
You need to have ROS installed on your ubuntu (here I have ubuntu 12.04, ROS fuerte) Download and Install UWSim using information from this link. Open a Terminal in ubuntu (ctrl+alt+T): and source the workspace first: & source ~/fuerte_workspace/setup.bash for … Continue reading
SVN – Basics (using TortoiseSVN)
You can download and install TortoiseSVN from here 1- to fetch an existing project, create a folder, name it as you like. For instance: “test_folder“ 2- for fetching an existing project, R-click on the folder and choose “SVN checkout…” 3- … Continue reading
Posted in Linux, programming, Software, SVN, Ubuntu
Tagged add, co, command, commit, easy, example, gui, line, linux, programming, step by step, svn, tortoise, update, version control, windows
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Add a new dependency to a package in ROS
to add a new dependency to a package you need to open the manifest file and add your dependency. For example we add the ‘rospy’ dependency to a manifest (red): <package> <description brief=”beginner_tutorials”> beginner_tutorials </description> <author>ML</author> <license>BSD</license> <review status=”unreviewed” notes=””/> … Continue reading
how to solve the error: “no ROS_WORKSPACE set”
it happens when you didn’t source the setup file of ros, then you need just to know the workspace directory, and run this line of command: source ~/fuerte_workspace/setup.sh (my workspace directory is ‘fuerte_workspace’)
machinelearning1 