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Animated mesh marker visualization plugin and accompanying ROS messages for Rviz

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animated_markers

Animated mesh marker visualization plugin and accompanying ROS messages for Rviz

NOTE: This Rviz plugin has only been tested on ROS Hydro. It will not work on ROS Groovy.

Motivation

Rviz currently does not play back animations contained in 3D meshes loaded from a visualization_msgs/Marker with type MESH_RESOURCE. This might be useful for displaying nice visualizations of e.g. walking persons in an environment.

Instead of modifying the source code of the original Rviz default_plugin, the animated_marker_rviz_plugin replicates part of that code and adds the required functionality specific to this purpose.

Example

Run the following to publish example markers and see the visualization in Rviz.

roslaunch animated_marker_tutorial animated_walking_man.launch

Usage

The usage of this package is very similar to using visualization_msgs/MarkerArray and visualization_msgs/Marker. Instead, just publish animated_marker_msgs/MarkerArray. The only supported marker type is AnimatedMarker.MESH_RESOURCE.

The animated_marker_rviz_plugin automatically registers itself with Rviz once the package is sourced (type eg. "source devel/setup.sh" in your catkin workspace). You can then add an AnimatedMarkerArray display by clicking on the "Add display" button.

Supported animation formats

Currently, only OGRE *.mesh files (along with *.skeleton files) are supported for animation. These can be exported using e.g. Easy Ogre Exporter (http://www.ogre3d.org/tikiwiki/tiki-index.php?page=Easy+Ogre+Exporter) from 3DS Max or Blender Exporter (http://www.ogre3d.org/tikiwiki/Blender+Exporter) from the free Blender software.

Credits

The animated_marker_rviz_plugin code is based upon original code from the default_plugin in ros-visualization/rviz (original authors Dave Hershberger, David Gossow, Josh Faust). The sample animated human mesh is a free low-poly mesh downloaded from mixamo.com, and the walking animation has been taken from the Carnegie Mellon Motion Capture Database (or, more specifically, https://sites.google.com/a/cgspeed.com/cgspeed/motion-capture/cmu-bvh-conversion).

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