Ruben-RV-ROS01: Difference between revisions
| Line 69: | Line 69: | ||
Simple scenario | Simple scenario | ||
[http://www.youtube.com/watch?v=_48PI78E-hg Simple navigation] | [http://www.youtube.com/watch?v=_48PI78E-hg Simple navigation] | ||
2. | 2. | ||
A wall scenario | A wall scenario | ||
[http://www.youtube.com/watch?v=nSkOCBKolfQ Navigation with obstacle] | [http://www.youtube.com/watch?v=nSkOCBKolfQ Navigation with obstacle] | ||
3. | 3. | ||
A realistic scenario | A realistic scenario | ||
Revision as of 15:02, 10 October 2013
- Project name: Turtlebot robot indoor navigation
- Dates: July 2013 -
- Degree: Summer Research Residence
- Authors: Ruben
- Contact: runix404@gmail.com
- SVN Repositories:
- Tags: ROS, navigation, turtlebot
- Technologies: kinect, pcl, openni, c++, cmake, ROS
- State: Ongoing
ROS Fuerte Installation on Ubuntu 12.04
Repository configuration
First we need to add the repository <syntaxhighlight lang=Bash>sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu precise main" > /etc/apt/sources.list.d/ros-latest.list'</syntaxhighlight>
and setup the keys <syntaxhighlight lang=Bash>wget http://packages.ros.org/ros.key -O - | sudo apt-key add -</syntaxhighlight>
Installation
We need to refresh the cache of your package manager <syntaxhighlight lang=Bash>sudo apt-get update</syntaxhighlight>
In our case, we decide to install ros-fuerte-desktop-full that is recommended in the ROS web, but you can also install other as explained on the web
<syntaxhighlight lang=Bash>sudo apt-get install ros-fuerte-desktop-full</syntaxhighlight>
Enviroment Configuration
Now we need to configure the enviroment variables
<syntaxhighlight lang=Bash>echo "source /opt/ros/fuerte/setup.bash" >> ~/.bashrc </syntaxhighlight>
For refresh the enviroment variables of your terminal you can reset it or type
<syntaxhighlight lang=Bash> . ~/.bashrc </syntaxhighlight>
Turtlebot installation
The turtlebot installation is very simple, you only have to type in your terminal
<syntaxhighlight lang=Bash> sudo apt-get install ros-fuerte-turtlebot* </syntaxhighlight>
Feasible Solutions
Dynamic window algorithm
Experiments
1. Simple scenario Simple navigation
2. A wall scenario Navigation with obstacle
3. A realistic scenario
Path Planning
Voronoi
Graph SLAM
Burgard