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rviz
ROS 3D Robot Visualizervisualization_tutorials
Tutorials related to using and extending RViz and interactive_markers.rqt
rqt_common_plugins
oculus_rviz_plugins
Oculus plugins for RVizqt_gui_core
python_qt_binding
rqt_bag
interactive_markers
Interactive marker library for RViz and similar visualizers.rqt_graph
rqt_image_view
rqt_reconfigure
executive_smach_visualization
A ROS-based introspection tool for visualizing the structure and state of SMACH plans.rqt_plot
rqt_tf_tree
rqt_robot_monitor
rqt_robot_dashboard
Framework for creating ROS dashboards in RQTrqt_robot_plugins
rqt_service_caller
rqt_robot_steering
visualization
ROS Visualization stack, previously on svn at code.ros.org.rqt_rviz
rqt_runtime_monitor
rqt_top
interactive_marker_twist_server
Generic interactive marker server for Twist robots.puppet
Create sequences of robot poses, interspersed with speech.rqt_topic
rqt_web
rx
rqt_pose_view
rviz_fixed_view_controller
A simple view controller that follows a TF frame.rqt_dep
view_controller_msgs
Messages for ROS view controllers.rqt_launch
rqt_publisher
rqt_console
rqt_moveit
rqt_nav_view
rqt_py_console
robhum_ui_utils
User interface facilities for Robots for Humanity.tango_icons_vendor
Provides Tango icons for non-linux systemsspeakeasy
SpeakEasy provides a sound node to run on a robot, and a GUI to run on a client. GUI users can type text for conversion to speech by the sound node. Utterances can be saved to buttons, and sound effects are available via buttons. Two versions, one started via launch/speakeasy_ros.launch separates control GUI from the low level speech engine control. This version can run the GUI and the actual speech in different ROS nodes. Use it, for example, if the sound is to be generated on the robot, and the GUI on a laptop. The second version, started with launch/speakeasy_standalone.launch combines all speech engine interaction with the GUI file. This means that the GUI and the speech engine share a process, and must both operate on the same machine.echo_tree
Use ngram statistics to predict multiple possible follow-on words from a given seed word. Display graphic representation of result via Web sockets to multiple clients.Love Open Source and this site? Check out how you can help us