Difference between revisions of "Setting up RGBDSLAM with ROS in the real world"

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1.) Plug the Kinect Sensor into the computer.
 
1.) Plug the Kinect Sensor into the computer.
 +
 
2.) Also plug the Pioneer 3dx into the computer.
 
2.) Also plug the Pioneer 3dx into the computer.
  
2.) Open a terminal and type:
+
3.) Open a terminal and type:
  
 
   roslaunch rgbdslam openni+rgbdslam.launch
 
   roslaunch rgbdslam openni+rgbdslam.launch
  
This will do the following:
+
[['''This will do the following:''']]
  
 
spin up the openni2 node
 
spin up the openni2 node
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spin up the octomap server
 
spin up the octomap server
  
3.) Open another terminal and type:
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4.) Open another terminal and type:
  
 
   sudo chmod 777 ttyUSB0
 
   sudo chmod 777 ttyUSB0
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   rosaria
 
   rosaria
  
This will do the following:
+
[['''This will do the following:''']]
  
 
Make the connection to the robot that will allow the control of the motors
 
Make the connection to the robot that will allow the control of the motors
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   rosrun pioneer3dx 3dxControl
 
   rosrun pioneer3dx 3dxControl
  
This will do the following:
+
[['''This will do the following:''']]
  
 
This is a controller that will allow the user to control the motors.
 
This is a controller that will allow the user to control the motors.
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5.) We are now ready to start SLAMMing. Put your focus on rgbdslam and press the spacebar
 
5.) We are now ready to start SLAMMing. Put your focus on rgbdslam and press the spacebar
  
This will do the following:
+
[['''This will do the following:''']]
  
 
The mapping process will begin
 
The mapping process will begin
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6.) Use the key controller to begin moving the robot VERY SLOWLY.
 
6.) Use the key controller to begin moving the robot VERY SLOWLY.
  
This will do the following:
+
[['''This will do the following:''']]
  
 
The map will begin to grow. You will see Landmarks on the bottom left of the RGBDSLAM window and they will be showing the Visual Odometry.
 
The map will begin to grow. You will see Landmarks on the bottom left of the RGBDSLAM window and they will be showing the Visual Odometry.
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   rosrun rviz rviz
 
   rosrun rviz rviz
  
This will do the following:
+
[['''This will do the following:''']]
  
 
RViz will be opened. This will allow us to view the 2d Map from the octomap_server.
 
RViz will be opened. This will allow us to view the 2d Map from the octomap_server.
  
To start rgbdslam press the spacebar.
+
8.) Press the Add button in RVIZ and go to the "by topic" tab. Scroll down and choose the "/project_map" topic.
When you are finished you can stop the process by going to Processing->Process in the menu.
+
 
 +
[['''This will do the following:''']]
 +
 
 +
RViz is now ready to visualize the map from the octomap server.
 +
 
 +
9.) In the RGBDSLAM window press CTRL+m
 +
 
 +
[['''This will do the following:''']]
 +
 
 +
The pointclouds will be sent to the octomap server. Rviz will begin to populate a 2D map.
 +
 
 +
10.) When you are finished press the Spacebar in RGBDSLAM.
 +
 
 +
[['''This will do the following:''']]
 +
 
 +
RGBDSLAM will stop processing
 +
 
 +
11.) To save the created map, open a terminal and type:
 +
 
 +
  rosrun octomp_server octomap_saver mapfile.bt
  
Next press Ctrl+m in rgbdslam
+
[['''This will do the following:''']]
  
Now open a new terminal and type:
+
mapfile.bt will be saved to the cwd
  
rosrun rviz rviz
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12.) To Open this new map, open a terminal and type:
  
Inside rviz press the Add button and add the Map topic.
+
  octovis mapfile.bt
  
Make sure to also change the Fixed frame to map.
+
[['''This will do the following:''']]
  
That is all I have for now guys. I will be on Monday around 2 until 7 hopefully. I realize we need to start getting this thing rolling and will be placing proper priority on this. Please make sure the Kinect Sensor is there on Monday so I can use it.  I will be working on refining the 2D map to make a proper ground truth map and also finding out how to save the 2d map.
+
A map file viewer is opened and the mapfile is displayed.

Revision as of 12:11, 3 February 2015

1.) Plug the Kinect Sensor into the computer.

2.) Also plug the Pioneer 3dx into the computer.

3.) Open a terminal and type:

  roslaunch rgbdslam openni+rgbdslam.launch

'''This will do the following:'''

spin up the openni2 node ​ spin up the rgbdslam node

spin up the octomap server

4.) Open another terminal and type:

  sudo chmod 777 ttyUSB0
 
  rosaria

'''This will do the following:'''

Make the connection to the robot that will allow the control of the motors


4.) Open another terminal and type:

  rosrun pioneer3dx 3dxControl

'''This will do the following:'''

This is a controller that will allow the user to control the motors.


5.) We are now ready to start SLAMMing. Put your focus on rgbdslam and press the spacebar

'''This will do the following:'''

The mapping process will begin

6.) Use the key controller to begin moving the robot VERY SLOWLY.

'''This will do the following:'''

The map will begin to grow. You will see Landmarks on the bottom left of the RGBDSLAM window and they will be showing the Visual Odometry.

7.) Open a new terminal and type:

 rosrun rviz rviz

'''This will do the following:'''

RViz will be opened. This will allow us to view the 2d Map from the octomap_server.

8.) Press the Add button in RVIZ and go to the "by topic" tab. Scroll down and choose the "/project_map" topic.

'''This will do the following:'''

RViz is now ready to visualize the map from the octomap server.

9.) In the RGBDSLAM window press CTRL+m

'''This will do the following:'''

The pointclouds will be sent to the octomap server. Rviz will begin to populate a 2D map.

10.) When you are finished press the Spacebar in RGBDSLAM.

'''This will do the following:'''

RGBDSLAM will stop processing

11.) To save the created map, open a terminal and type:

  rosrun octomp_server octomap_saver mapfile.bt

'''This will do the following:'''

mapfile.bt will be saved to the cwd

12.) To Open this new map, open a terminal and type:

  octovis mapfile.bt

'''This will do the following:'''

A map file viewer is opened and the mapfile is displayed.