Files
rtabmap_ros/launch/ros2/turtlebot3_rgbd.launch.py
T

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2.2 KiB
Python

# Requirements:
# Install Turtlebot3 packages
# Install https://github.com/mlherd/ros2_turtlebot3_waffle_intel_realsense
# Example:
# $ export TURTLEBOT3_MODEL=waffle
# $ ros2 launch turtlebot3_gazebo turtlebot3_world.launch.py
# $ ros2 run turtlebot3_teleop teleop_keyboard
#
# $ ros2 launch rtabmap_ros turtlebot3_rgbd.launch.py
# OR
# $ ros2 launch rtabmap_ros rtabmap.launch.py visual_odometry:=false frame_id:=base_footprint odom_topic:=/odom args:="-d" use_sim_time:=true rgb_topic:=/intel_realsense_r200_depth/image_raw depth_topic:=/intel_realsense_r200_depth/depth/image_raw camera_info_topic:=/intel_realsense_r200_depth/camera_info approx_sync:=true
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, SetEnvironmentVariable
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
def generate_launch_description():
use_sim_time = LaunchConfiguration('use_sim_time')
qos = LaunchConfiguration('qos')
parameters=[{
'frame_id':'base_footprint',
'use_sim_time':use_sim_time,
'subscribe_depth':True,
'qos_image':qos,
'qos_imu':qos,
'Optimizer/GravitySigma':'0' # Disable imu constraints (we are already in 2D)
}]
remappings=[
('rgb/image', '/intel_realsense_r200_depth/image_raw'),
('rgb/camera_info', '/intel_realsense_r200_depth/camera_info'),
('depth/image', '/intel_realsense_r200_depth/depth/image_raw')]
return LaunchDescription([
# Launch arguments
DeclareLaunchArgument(
'use_sim_time', default_value='true',
description='Use simulation (Gazebo) clock if true'),
DeclareLaunchArgument(
'qos', default_value='2',
description='QoS used for input sensor topics'),
# Nodes to launch
Node(
package='rtabmap_ros', executable='rtabmap', output='screen',
parameters=parameters,
remappings=remappings,
arguments=['-d']),
Node(
package='rtabmap_ros', executable='rtabmapviz', output='screen',
parameters=parameters,
remappings=remappings),
])