feat: add opt-in Gazebo mode for MK-mini
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@@ -26,6 +26,12 @@ platform:
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sim_sensor_driver: carla_lidar # sim_mode=true
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sim_lidar: vanjee # CARLA 스폰 blueprint 정체성 (차량↔라이다 고정 페어링)
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# Gazebo is an opt-in simulation backend (simulator:=gazebo). Keep the
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# existing CARLA selections above as the default so existing runs are not
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# changed.
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gazebo_vehicle_driver: gazebo_mkmini_passthrough
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gazebo_sensor_driver: gazebo_mkmini_lidar
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# cross-workspace 규칙 키 (기존 {robot} 컨벤션 보존 — 다운스트림 무수정)
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perception_profile: mkmini # → perception_{...}.yaml, tf_{...}.yaml, control_*_{...}.yaml
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scan_topic: /scan
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@@ -0,0 +1,14 @@
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# Gazebo publishes the simulated 3D point cloud directly to the topic used by
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# the current MK-mini perception and control configurations.
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sensor_driver:
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name: gazebo_mkmini_lidar
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display_name: Gazebo MK-mini 3D LiDAR
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dimension: 3d
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modes: [sim]
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compatible_platforms: [mkmini]
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scan_adapter: pointcloud_passthrough
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driver_launch:
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package: ""
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launch: ""
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speed_msg: none
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bridge: {}
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@@ -0,0 +1,10 @@
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# Gazebo MK-mini consumes Nav2 Twist messages directly through the Ackermann
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# plugin. This profile intentionally has no hardware driver or adapter.
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vehicle_driver:
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name: gazebo_mkmini_passthrough
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display_name: Gazebo MK-mini Twist passthrough
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adapter: ""
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driver_launch:
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package: ""
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launch: ""
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adapter_params: {}
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@@ -0,0 +1,35 @@
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"""Opt-in Gazebo backend for the MK-mini vehicle profile."""
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import os
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from ament_index_python.packages import get_package_share_directory
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from launch import LaunchDescription
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from launch.actions import DeclareLaunchArgument, IncludeLaunchDescription, SetEnvironmentVariable
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from launch.conditions import IfCondition
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from launch.launch_description_sources import PythonLaunchDescriptionSource
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from launch.substitutions import EnvironmentVariable, LaunchConfiguration
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def generate_launch_description():
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pkg_share = get_package_share_directory('vehicle_pkg')
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gazebo_share = get_package_share_directory('gazebo_ros')
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model_dir = os.path.join(pkg_share, 'models')
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world_path = os.path.join(pkg_share, 'worlds', 'mkmini_gazebo.world')
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gui = LaunchConfiguration('gui')
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return LaunchDescription([
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DeclareLaunchArgument('gui', default_value='true'),
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SetEnvironmentVariable(
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name='GAZEBO_MODEL_PATH',
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value=[model_dir, os.pathsep, EnvironmentVariable('GAZEBO_MODEL_PATH', default_value='')],
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),
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IncludeLaunchDescription(
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PythonLaunchDescriptionSource(os.path.join(gazebo_share, 'launch', 'gazebo.launch.py')),
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launch_arguments={
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'world': world_path,
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'gui': gui,
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'verbose': 'false',
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'pause': 'false',
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}.items(),
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),
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])
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@@ -24,6 +24,10 @@ from vehicle_pkg.profiles import resolve_plan
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ARGUMENTS = [
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DeclareLaunchArgument('sim_mode', default_value='false'),
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# Empty keeps the existing platform profile behavior (MK-mini sim = CARLA).
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# gazebo is opt-in so the real vehicle and current CARLA flows are unchanged.
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DeclareLaunchArgument('simulator', default_value=''),
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DeclareLaunchArgument('gui', default_value='true'),
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DeclareLaunchArgument('lidar', default_value='ouster'), # carla spawn 용 (choices 완화)
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DeclareLaunchArgument('level', default_value='None', choices=['None', '2d', '3d']),
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DeclareLaunchArgument('platform', default_value='mkmini'),
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@@ -46,6 +50,8 @@ ARGUMENTS = [
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def build(context, *args, **kwargs):
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sim_mode = LaunchConfiguration('sim_mode').perform(context)
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simulator = LaunchConfiguration('simulator').perform(context)
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gui = LaunchConfiguration('gui').perform(context)
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lidar = LaunchConfiguration('lidar').perform(context)
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level = LaunchConfiguration('level').perform(context)
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platform = LaunchConfiguration('platform').perform(context)
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@@ -69,7 +75,8 @@ def build(context, *args, **kwargs):
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pkg_share, platform_name, sim_mode, vehicle_driver, sensor_driver,
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extra_config_dirs=extra_config_dirs,
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sensor_driver_params=sensor_driver_params,
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vehicle_driver_params=vehicle_driver_params)
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vehicle_driver_params=vehicle_driver_params,
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simulator=simulator)
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sim = (sim_mode == 'true')
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actions = []
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@@ -90,6 +97,12 @@ def build(context, *args, **kwargs):
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('spawn_imu', spawn_imu),
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],
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))
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elif sim and plan['simulator'] == 'gazebo':
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gazebo_launch = os.path.join(pkg_share, 'launch', 'mkmini_gazebo.launch.py')
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actions.append(IncludeLaunchDescription(
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PythonLaunchDescriptionSource(gazebo_launch),
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launch_arguments=[('gui', gui)],
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))
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elif not sim:
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actions.append(Node(package='vehicle_pkg', executable='pub_clock',
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name='pub_clock', output='screen'))
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@@ -0,0 +1,7 @@
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<?xml version="1.0"?>
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<model>
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<name>mkmini_gazebo</name>
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<version>1.0</version>
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<sdf version="1.6">model.sdf</sdf>
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<description>Lightweight Ackermann MK-mini model for Gazebo learning runs.</description>
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</model>
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@@ -0,0 +1,44 @@
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<?xml version="1.0"?>
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<sdf version="1.6">
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<!-- Lightweight MK-mini approximation. The body dimensions and wheelbase
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match the platform profile; Gazebo's tricycle plugin supplies stable
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non-holonomic Ackermann-like motion from the standard /cmd_vel topic. -->
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<model name="mkmini_gazebo">
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<pose>0 0 0.16 0 0 0</pose>
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<link name="base_link">
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<inertial><mass>38.0</mass><inertia><ixx>2.0</ixx><iyy>2.6</iyy><izz>3.2</izz></inertia></inertial>
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<collision name="chassis_collision"><pose>0 0 0.16 0 0 0</pose><geometry><box><size>1.05 0.70 0.32</size></box></geometry></collision>
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<visual name="chassis_visual"><pose>0 0 0.16 0 0 0</pose><geometry><box><size>1.05 0.70 0.32</size></box></geometry><material><ambient>0.12 0.20 0.25 1</ambient><diffuse>0.12 0.35 0.42 1</diffuse></material></visual>
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<visual name="front_marker"><pose>0.56 0 0.23 0 0 0</pose><geometry><box><size>0.06 0.42 0.10</size></box></geometry><material><ambient>0.95 0.65 0.08 1</ambient><diffuse>0.95 0.65 0.08 1</diffuse></material></visual>
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</link>
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<link name="front_fork"><pose>0.30 0 0 0 0 0</pose><inertial><mass>1.0</mass><inertia><ixx>0.01</ixx><iyy>0.01</iyy><izz>0.01</izz></inertia></inertial></link>
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<joint name="front_steering_joint" type="revolute"><parent>base_link</parent><child>front_fork</child><axis><xyz>0 0 1</xyz><limit><lower>-0.5</lower><upper>0.5</upper></limit></axis></joint>
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<link name="front_drive_wheel"><pose>0.30 0 0 0 0 0</pose><inertial><mass>1.2</mass><inertia><ixx>0.02</ixx><iyy>0.01</iyy><izz>0.02</izz></inertia></inertial><collision name="collision"><pose>0 0 0 1.5708 0 0</pose><geometry><cylinder><radius>0.14</radius><length>0.18</length></cylinder></geometry></collision><visual name="visual"><pose>0 0 0 1.5708 0 0</pose><geometry><cylinder><radius>0.14</radius><length>0.18</length></cylinder></geometry><material><ambient>0.04 0.04 0.04 1</ambient><diffuse>0.04 0.04 0.04 1</diffuse></material></visual></link>
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<joint name="front_drive_joint" type="revolute"><parent>front_fork</parent><child>front_drive_wheel</child><axis><xyz>0 1 0</xyz></axis></joint>
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<link name="rear_left_wheel"><pose>-0.30 0.36 0 0 0 0</pose><inertial><mass>1.0</mass><inertia><ixx>0.02</ixx><iyy>0.01</iyy><izz>0.02</izz></inertia></inertial><collision name="collision"><pose>0 0 0 1.5708 0 0</pose><geometry><cylinder><radius>0.14</radius><length>0.10</length></cylinder></geometry></collision><visual name="visual"><pose>0 0 0 1.5708 0 0</pose><geometry><cylinder><radius>0.14</radius><length>0.10</length></cylinder></geometry><material><ambient>0.04 0.04 0.04 1</ambient><diffuse>0.04 0.04 0.04 1</diffuse></material></visual></link>
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<joint name="rear_left_joint" type="revolute"><parent>base_link</parent><child>rear_left_wheel</child><axis><xyz>0 1 0</xyz></axis></joint>
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<link name="rear_right_wheel"><pose>-0.30 -0.36 0 0 0 0</pose><inertial><mass>1.0</mass><inertia><ixx>0.02</ixx><iyy>0.01</iyy><izz>0.02</izz></inertia></inertial><collision name="collision"><pose>0 0 0 1.5708 0 0</pose><geometry><cylinder><radius>0.14</radius><length>0.10</length></cylinder></geometry></collision><visual name="visual"><pose>0 0 0 1.5708 0 0</pose><geometry><cylinder><radius>0.14</radius><length>0.10</length></cylinder></geometry><material><ambient>0.04 0.04 0.04 1</ambient><diffuse>0.04 0.04 0.04 1</diffuse></material></visual></link>
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<joint name="rear_right_joint" type="revolute"><parent>base_link</parent><child>rear_right_wheel</child><axis><xyz>0 1 0</xyz></axis></joint>
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<link name="os_lidar"><pose>0 0 0.52 0 0 0</pose><inertial><mass>0.2</mass><inertia><ixx>0.001</ixx><iyy>0.001</iyy><izz>0.001</izz></inertia></inertial>
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<visual name="visual"><geometry><cylinder><radius>0.075</radius><length>0.10</length></cylinder></geometry><material><ambient>0.85 0.12 0.10 1</ambient><diffuse>0.85 0.12 0.10 1</diffuse></material></visual>
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<sensor name="lidar_3d" type="ray"><always_on>true</always_on><update_rate>10</update_rate><visualize>false</visualize><ray><scan><horizontal><samples>360</samples><resolution>1</resolution><min_angle>-3.14159</min_angle><max_angle>3.14159</max_angle></horizontal><vertical><samples>16</samples><resolution>1</resolution><min_angle>-0.26</min_angle><max_angle>0.26</max_angle></vertical></scan><range><min>0.20</min><max>18.0</max><resolution>0.02</resolution></range></ray><plugin name="mkmini_lidar" filename="libgazebo_ros_ray_sensor.so"><ros><remapping>~/out:=/carla/hero/lidar_filtered</remapping></ros><output_type>sensor_msgs/PointCloud2</output_type><frame_name>os_lidar</frame_name></plugin></sensor>
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</link>
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<joint name="os_lidar_joint" type="fixed"><parent>base_link</parent><child>os_lidar</child></joint>
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<plugin name="mkmini_tricycle" filename="libgazebo_ros_tricycle_drive.so">
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<ros><remapping>cmd_vel:=/cmd_vel</remapping><remapping>odom:=/odom_custom</remapping></ros>
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<steering_joint>front_steering_joint</steering_joint><actuated_wheel_joint>front_drive_joint</actuated_wheel_joint>
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<encoder_wheel_left_joint>rear_left_joint</encoder_wheel_left_joint><encoder_wheel_right_joint>rear_right_joint</encoder_wheel_right_joint>
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<wheel_separation>0.72</wheel_separation><encoder_wheel_diameter>0.28</encoder_wheel_diameter><actuated_wheel_diameter>0.28</actuated_wheel_diameter>
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<max_wheel_torque>120.0</max_wheel_torque><max_wheel_acceleration>1.5</max_wheel_acceleration><max_steering_speed>0.8</max_steering_speed>
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<publish_odom>true</publish_odom><publish_wheel_tf>true</publish_wheel_tf><publish_wheel_joint_state>true</publish_wheel_joint_state>
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<odometry_frame>odom</odometry_frame><robot_base_frame>base_link</robot_base_frame>
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</plugin>
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</model>
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</sdf>
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@@ -13,6 +13,7 @@
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<exec_depend>yhs_can_interfaces</exec_depend>
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<exec_depend>yhs_can_control</exec_depend>
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<exec_depend>vanjee_lidar_sdk</exec_depend>
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<exec_depend>gazebo_ros</exec_depend>
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<test_depend>ament_copyright</test_depend>
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<test_depend>ament_flake8</test_depend>
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@@ -20,6 +20,8 @@ setup(
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(os.path.join('share', package_name, 'config', 'platforms'), glob('config/platforms/*.yaml')),
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(os.path.join('share', package_name, 'config', 'vehicle_drivers'), glob('config/vehicle_drivers/*.yaml')),
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(os.path.join('share', package_name, 'config', 'sensor_drivers'), glob('config/sensor_drivers/*.yaml')),
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(os.path.join('share', package_name, 'models', 'mkmini_gazebo'), glob('models/mkmini_gazebo/*')),
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(os.path.join('share', package_name, 'worlds'), glob('worlds/*.world')),
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],
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install_requires=['setuptools'],
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zip_safe=True,
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@@ -99,7 +99,7 @@ def _merge_params(prof, kind, raw_b64):
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def resolve_plan(pkg_share, platform_name, sim_mode,
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vehicle_driver_arg='', sensor_driver_arg='',
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extra_config_dirs='', sensor_driver_params='',
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vehicle_driver_params=''):
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vehicle_driver_params='', simulator=''):
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"""platform/sim_mode/override 로 launch 플랜(dict) 해소. ROS 비의존.
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sim_mode 는 'true'/'false' 문자열. override 가 빈 문자열이면 platform 기본값 사용.
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@@ -113,7 +113,14 @@ def resolve_plan(pkg_share, platform_name, sim_mode,
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extra_dirs = [d for d in str(extra_config_dirs).split(':') if d]
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# 드라이버 이름 선택 (선택 source = platform 프로파일 데이터)
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if sim:
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simulator_name = str(simulator).strip()
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if simulator_name and not sim:
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raise ValueError('[profiles] simulator override requires sim_mode:=true')
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if sim and simulator_name == 'gazebo':
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vd_name = P.get('gazebo_vehicle_driver', P['sim_vehicle_driver'])
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sd_name = P.get('gazebo_sensor_driver', P['sim_sensor_driver'])
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elif sim:
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vd_name = P['sim_vehicle_driver']
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sd_name = P['sim_sensor_driver']
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else:
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@@ -149,7 +156,7 @@ def resolve_plan(pkg_share, platform_name, sim_mode,
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return {
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'platform': P['name'],
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'simulator': P.get('simulator', 'carla' if sim else 'real'),
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'simulator': simulator_name or P.get('simulator', 'carla' if sim else 'real'),
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'drive_type': P['drive_type'],
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'perception_profile': P.get('perception_profile', P['name']),
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'lidar_frame': P.get('lidar_frame'),
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@@ -0,0 +1,21 @@
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<?xml version="1.0"?>
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<sdf version="1.6">
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<world name="mkmini_gazebo">
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<gravity>0 0 -9.8</gravity>
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<light type="directional" name="sun">
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<cast_shadows>false</cast_shadows>
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<pose>0 0 10 0 0 0</pose>
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<diffuse>0.8 0.8 0.8 1</diffuse>
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<specular>0.2 0.2 0.2 1</specular>
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<direction>-0.5 0.1 -0.9</direction>
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</light>
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<model name="ground_plane">
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<static>true</static>
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<link name="link">
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<collision name="collision"><geometry><plane><normal>0 0 1</normal><size>100 100</size></plane></geometry></collision>
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<visual name="visual"><geometry><plane><normal>0 0 1</normal><size>100 100</size></plane></geometry><material><ambient>0.22 0.25 0.29 1</ambient><diffuse>0.22 0.25 0.29 1</diffuse></material></visual>
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</link>
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</model>
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<include><uri>model://mkmini_gazebo</uri></include>
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</world>
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</sdf>
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