ros-visualization/rqt_rviz

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Created over 7 years ago
Updated over 1 year ago

ros-visualization/rqt_rviz

ros-visualization

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rviz

ROS 3D Robot Visualizer

visualization_tutorials

Tutorials related to using and extending RViz and interactive_markers.

rqt

rqt_common_plugins

oculus_rviz_plugins

Oculus plugins for RViz

qt_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 RQT

rqt_robot_plugins

rqt_service_caller

rqt_robot_steering

visualization

ROS Visualization stack, previously on svn at code.ros.org.

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 systems

rqt_logger_level

speakeasy

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.