mirror of
https://github.com/introlab/rtabmap_ros.git
synced 2026-10-03 16:27:46 +08:00
updated az3 nav move_base parameters
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@@ -17,7 +17,8 @@
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<param name="subscribe_laserScan" type="bool" value="true"/>
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<param name="use_action_for_goal" type="bool" value="true"/>
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<param name="cloud_decimation" type="int" value="1"/> <!-- we already decimate in memory below -->
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<param name="grid_eroded" type="bool" value="true"/>
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<remap from="odom" to="/base_controller/odom"/>
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<remap from="scan" to="/base_scan"/>
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<remap from="mapData" to="mapData"/>
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@@ -28,7 +29,7 @@
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<remap from="goal_out" to="current_goal"/>
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<remap from="move_base" to="/planner/move_base"/>
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<remap from="proj_map" to="/map"/>
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<remap from="grid_map" to="/map"/>
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<!-- RTAB-Map's parameters -->
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<param name="RGBD/PoseScanMatching" type="string" value="true"/>
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@@ -43,7 +44,8 @@
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<param name="Mem/RehearsalSimilarity" type="string" value="0.45"/>
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<param name="Mem/RehearsedNodesKept" type="string" value="false"/>
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<param name="Mem/ImageDecimation" type="string" value="4"/>
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<param name="Rtabmap/StartNewMapOnLoopClosure" type="string" value="true"/>
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<param name="Rtabmap/TimeThr" type="string" value="600"/>
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<param name="Rtabmap/DetectionRate" type="string" value="1"/>
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@@ -82,6 +84,7 @@
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<remap from="move_base_simple/goal" to="/planner_goal"/>
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<node pkg="move_base" type="move_base" respawn="true" name="move_base" output="screen">
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<param name="base_global_planner" value="navfn/NavfnROS"/>
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<rosparam file="$(find rtabmap_ros)/launch/azimut3/config/costmap_common_params.yaml" command="load" ns="global_costmap" />
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<rosparam file="$(find rtabmap_ros)/launch/azimut3/config/costmap_common_params.yaml" command="load" ns="local_costmap" />
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<rosparam file="$(find rtabmap_ros)/launch/azimut3/config/local_costmap_params_laser.yaml" command="load" />
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@@ -17,11 +17,11 @@ TrajectoryPlannerROS:
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xy_goal_tolerance: 0.20
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yaw_goal_tolerance: 0.20
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sim_time: 1
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sim_time: 1.5
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sim_granularity: 0.025
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vx_samples: 3
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vtheta_samples: 20
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controller_frequency: 10
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vtheta_samples: 30
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controller_frequency: 20
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pdist_scale: 0.6
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gdist_scale: 0.8
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@@ -30,4 +30,4 @@ TrajectoryPlannerROS:
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dwa: true
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oscillation_reset_dist: 0.05
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meter_scoring: true
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meter_scoring: false
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@@ -4,12 +4,13 @@ footprint: [[ 0.3, 0.3], [-0.3, 0.3], [-0.3, -0.3], [ 0.3, -0.3]]
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footprint_padding: 0.03
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#robot_radius: ir_of_robot
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inflation_radius: 0.55
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transform_tolerance: 1
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transform_tolerance: 2
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controller_patience: 2.0
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#planner_frequency: 0.2
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NavfnROS:
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allow_unknown: true
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allow_unknown: false
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recovery_behaviors: [
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{name: conservative_clear, type: clear_costmap_recovery/ClearCostmapRecovery},
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@@ -1,6 +1,7 @@
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global_costmap:
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global_frame: map
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robot_base_frame: base_footprint
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update_frequency: 0.5
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publish_frequency: 0.5
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update_frequency: 1
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publish_frequency: 1
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static_map: true
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always_send_full_costmap: true
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@@ -11,15 +11,15 @@ local_costmap:
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origin_x: -2.0
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origin_y: -2.0
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#observation_sources: laser_scan_sensor point_cloud_sensor
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observation_sources: point_cloud_sensor
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observation_sources: laser_scan_sensor point_cloud_sensor
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#observation_sources: point_cloud_sensor
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laser_scan_sensor: {
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data_type: LaserScan,
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topic: base_scan,
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expected_update_rate: 0.2,
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marking: true,
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clearing: true}
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clearing: false}
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# assuming receiving a cloud from rtabmap/obstacles_detection node
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point_cloud_sensor: {
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@@ -30,4 +30,4 @@ local_costmap:
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marking: true,
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clearing: true,
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min_obstacle_height: -99999.0,
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max_obstacle_height: 99999.0}
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max_obstacle_height: 0.5}
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