This package is meant to be an example on how robots needs to be configured in order to support simulating multi robots in the same environment.

ROS 2 Version: Foxy

• One /tf topic is expected to be published for any number of robots
• Each frame should have a prefix to know which robot they belong to

• Topics should be namespaced.
  • <robot_prefix>/robot_description
  • <robot_prefix>/joint_states
  • <robot_prefix>/cmd_vel
  • <robot_prefix>/odom
  • <robot_prefix>/scan
• Nodes should be namespaced.
  • robot_state_publisher: Reads robot description and:
    • Publishes <robot_prefix>/robot_description topic.
    • Publishes transforms to /tf. Transforms should be prefixed for the robot.
    • Subscribes to joint_states. Topic should be prefixed for the robot.
  • Gazebo related nodes
    • gazebo_ros_diff_drive plugin: Should be namespaced.
    • gazebo_ros_joint_state_publisher plugin: Should be namespaced.

• Launch the standalone simulation, no robot is spawned

ros2 launch multi_turtlebot_sim standalone_world.launch.py

Note: By default the empty world is used, you can also use world_name:=turtlebot3_world.world.

• Spawn a robot using a robot_prefix in a particular x_pose and y_pose.

ros2 launch multi_turtlebot_sim spawn_turtlebot3.launch.py robot_prefix:=robot1 x_pose:=0.5 y_pose:=0.5

The robot_prefix will affect both the ros namespace and the tf prefix for that robot

• Spawn another robot in a different position

ros2 launch multi_turtlebot_sim spawn_turtlebot3.launch.py robot_prefix:=robot2 x_pose:=-0.5 y_pose:=-0.5

Check how the tf tree is conformed:

ros2 run tf2_tools view_frames.py

• The tf tree of each robot aren't connected therefore both robots in rviz can't be seen. As the simulation is starting the odom frame for each robot in the {0,0} world position we can add a static transform between both odometry frames to achieve the full tf_tree all connected.

ros2 run tf2_ros static_transform_publisher 0 0 0 0 0 0 robot1/odom robot2/odom