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ROS package for creating Gazebo environments from 2D maps

Subscribes to your map topic and exports a mesh for use in Gazebo in the destination folder you specify. The mesh will have obstacles (tall boxes) corresponding to all occupied map squares. Requires a map to be publishing somewhere, and will probably work better if the map is static; I recommend using map_server with a saved map.

If run with default parameters, it will write the mesh to this package's models/map/meshes folder. You will then be able to run gazebo_world.launch to launch Gazebo pre-populated with the map mesh.

Arguments and parameters

The export directory is specified as a launchfile argument. Change it using

roslaunch map2gazebo map2gazebo.launch export_dir:=/path/to/export_dir

Note that if you change the export directory, gazebo_world.launch will not work unmodified.

Default parameters are specified in config/defaults.yaml; the location of the YAML parameter file is also a launchfile argument. To change the defaults, make a new YAML parameter file, and run

roslaunch map2gazebo map2gazebo.launch params_file:=/path/to/your/params.yaml

Alternatively you could just edit the default parameter file (not recommended, but I can't stop you).

YAML parameters:

The YAML file does not specify the export directory because it doesn't seem to support a value with substitution args like "$(find map2gazebo)/models/map/meshes", which is the desired default value. The roslaunch <arg> and <param> tags are therefore used, but unfortunately the <param> tag overrides any non-default value loaded from the YAML file. Therefore, don't use the YAML parameter file to set a non-default export directory. (Let me know, or better submit a PR, if you know of a more elegant way to do this!)

Installation

Clone the repo and install ROS dependencies with rosdep.

Install the python dependencies with pip:

pip install --user trimesh
pip install --user numpy

trimesh needs the following soft dependencies to export Collada (.dae) files. Theoretically you can install these with pip install trimesh[soft] but this failed for me, so I installed the needed ones myself.

pip install --user pycollada
pip install --user scipy
pip install --user networkx