# GPS WPF CHANGES: # - amcl params where removed. They are not needed because global localization is provided # by an ekf node on robot_localization fusing gps data with local odometry sources # - static layer is removed from both costmaps, in this tutorial we assume there is no map # of the environment # - global costmap is set to be rolling to allow the robot to traverse big environment by # following successive relatively close waypoints that fit in a smaller rolling costmap bt_navigator: ros__parameters: use_sim_time: True global_frame: map robot_base_frame: base_link odom_topic: /odom bt_loop_duration: 10 default_server_timeout: 20 wait_for_service_timeout: 1000 navigators: ["navigate_to_pose", "navigate_through_poses"] navigate_to_pose: plugin: "nav2_bt_navigator::NavigateToPoseNavigator" navigate_through_poses: plugin: "nav2_bt_navigator::NavigateThroughPosesNavigator" # 'default_nav_through_poses_bt_xml' and 'default_nav_to_pose_bt_xml' are use defaults: # nav2_bt_navigator/navigate_to_pose_w_replanning_and_recovery.xml # nav2_bt_navigator/navigate_through_poses_w_replanning_and_recovery.xml # They can be set here or via a RewrittenYaml remap from a parent launch file to Nav2. default_nav_to_pose_bt_xml: $(find-pkg-share NAME_OF_YOUR_PKG)/behavior_trees/navigate_to_pose_w_replanning_and_recovery.xml default_nav_through_poses_bt_xml: $(find-pkg-share NAME_OF_YOUR_PKG)/behavior_trees/navigate_through_poses_w_replanning_and_recovery.xml # plugin_lib_names is used to add custom BT plugins to the executor (vector of strings). # Built-in plugins are added automatically # plugin_lib_names: [] error_code_name_prefixes: - compute_path - follow_path controller_server: ros__parameters: use_sim_time: True controller_frequency: 30.0 min_x_velocity_threshold: 0.001 min_y_velocity_threshold: 0.5 min_theta_velocity_threshold: 0.001 failure_tolerance: 30.0 progress_checker_plugins: ["progress_checker"] goal_checker_plugins: ["general_goal_checker"] # "precise_goal_checker" controller_plugins: ["FollowPath"] # Progress checker parameters progress_checker: plugin: "nav2_controller::SimpleProgressChecker" required_movement_radius: 0.5 movement_time_allowance: 10.0 # Goal checker parameters #precise_goal_checker: # plugin: "nav2_controller::SimpleGoalChecker" # xy_goal_tolerance: 0.25 # yaw_goal_tolerance: 0.25 # stateful: True general_goal_checker: stateful: True plugin: "nav2_controller::SimpleGoalChecker" xy_goal_tolerance: 0.25 yaw_goal_tolerance: 0.25 # DWB parameters FollowPath: FollowPath: plugin: "nav2_mppi_controller::MPPIController" time_steps: 42 model_dt: 0.05 batch_size: 2000 vx_std: 0.2 vy_std: 0.2 wz_std: 0.4 vx_max: 1.2 vx_min: -0.35 vy_max: 0.5 wz_max: 3.5 iteration_count: 1 prune_distance: 3.0 transform_tolerance: 0.2 temperature: 0.3 gamma: 0.01 motion_model: "DiffDrive" visualize: false regenerate_noises: false TrajectoryVisualizer: trajectory_step: 5 time_step: 3 AckermannConstraints: min_turning_r: 0.2 critics: [ "ConstraintCritic", "CostCritic", "GoalCritic", "GoalAngleCritic", "PathAlignCritic", "PathFollowCritic", "PathAngleCritic", "PreferForwardCritic", ] ConstraintCritic: enabled: true cost_power: 1 cost_weight: 4.0 GoalCritic: enabled: true cost_power: 1 cost_weight: 5.0 threshold_to_consider: 1.4 GoalAngleCritic: enabled: true cost_power: 1 cost_weight: 2.0 threshold_to_consider: 0.5 PreferForwardCritic: enabled: true cost_power: 1 cost_weight: 5.0 threshold_to_consider: 0.5 CostCritic: enabled: true cost_power: 1 cost_weight: 3.81 near_collision_cost: 253 critical_cost: 300.0 consider_footprint: false collision_cost: 1000000.0 near_goal_distance: 1.0 trajectory_point_step: 2 PathAlignCritic: enabled: true cost_power: 1 cost_weight: 15.0 max_path_occupancy_ratio: 0.05 trajectory_point_step: 4 threshold_to_consider: 0.25 offset_from_furthest: 2 use_path_orientations: false PathFollowCritic: enabled: true cost_power: 1 cost_weight: 5.0 offset_from_furthest: 5 threshold_to_consider: 1.4 PathAngleCritic: enabled: true cost_power: 1 cost_weight: 7.0 offset_from_furthest: 4 threshold_to_consider: 0.25 max_angle_to_furthest: 1.0 mode: 0 # TwirlingCritic: # enabled: true # twirling_cost_power: 1 # twirling_cost_weight: 10.0 # GPS WPF CHANGE: Remove static layer local_costmap: local_costmap: ros__parameters: use_sim_time: True update_frequency: 5.0 publish_frequency: 5.0 global_frame: map robot_base_frame: base_link rolling_window: true width: 10 height: 10 resolution: 0.1 robot_radius: 0.22 plugins: ["voxel_layer", "inflation_layer"] inflation_layer: plugin: "nav2_costmap_2d::InflationLayer" cost_scaling_factor: 3.0 inflation_radius: 0.55 voxel_layer: plugin: "nav2_costmap_2d::VoxelLayer" enabled: false publish_voxel_map: True origin_z: 0.0 z_resolution: 0.05 z_voxels: 16 max_obstacle_height: 2.0 mark_threshold: 0 observation_sources: pointcloud pointcloud: topic: /cloud_map max_obstacle_height: 2.0 min_obstacle_height: 0.0 obstacle_range: 2.5 raytrace_range: 3.0 observation_persistence: 0.0 data_type: "PointCloud2" marking: True clearing: True # observation_sources: scan # scan: # topic: /scan # max_obstacle_height: 2.0 # clearing: True # marking: True # data_type: "LaserScan" # raytrace_max_range: 3.0 # raytrace_min_range: 0.0 # obstacle_max_range: 2.5 # obstacle_min_range: 0.0 always_send_full_costmap: true # GPS WPF CHANGE: Remove static layer global_costmap: global_costmap: ros__parameters: use_sim_time: True update_frequency: 1.0 publish_frequency: 1.0 global_frame: map robot_base_frame: base_link robot_radius: 0.22 resolution: 0.25 # When using GPS navigation you will potentially traverse huge environments which are not practical to # fit on a big static costmap. Thus it is recommended to use a rolling global costmap large enough to # contain each pair of successive waypoints. See: https://github.com/ros-planning/navigation2/issues/2174 rolling_window: True width: 30 height: 30 # origin_x: 0.0 # origin_y: 0.0 track_unknown_space: false # no static map plugins: ["obstacle_layer", "inflation_layer"] obstacle_layer: plugin: "nav2_costmap_2d::ObstacleLayer" enabled: false observation_sources: pointcloud pointcloud: topic: /cloud_map max_obstacle_height: 2.0 min_obstacle_height: 0.0 obstacle_range: 2.5 raytrace_range: 3.0 observation_persistence: 0.0 data_type: "PointCloud2" marking: True clearing: True # observation_sources: scan # scan: # topic: /scan # max_obstacle_height: 2.0 # clearing: True # marking: True # data_type: "LaserScan" # raytrace_max_range: 3.0 # raytrace_min_range: 0.0 # obstacle_max_range: 2.5 # obstacle_min_range: 0.0 # # outdoors there will probably be more inf points # inf_is_valid: true inflation_layer: plugin: "nav2_costmap_2d::InflationLayer" cost_scaling_factor: 3.0 inflation_radius: 0.55 always_send_full_costmap: true # The yaml_filename does not need to be specified since it going to be set by defaults in launch. # If you'd rather set it in the yaml, remove the default "map" value in the tb3_simulation_launch.py # file & provide full path to map below. If CLI map configuration or launch default is provided, that will be used. # map_server: # ros__parameters: # yaml_filename: "" map_saver: ros__parameters: save_map_timeout: 5.0 free_thresh_default: 0.25 occupied_thresh_default: 0.65 map_subscribe_transient_local: True service_introspection_mode: "disabled" planner_server: ros__parameters: use_sim_time: True expected_planner_frequency: 20.0 planner_plugins: ["GridBased"] costmap_update_timeout: 1.0 service_introspection_mode: "disabled" GridBased: plugin: "nav2_navfn_planner/NavfnPlanner" tolerance: 0.5 use_astar: false allow_unknown: true smoother_server: ros__parameters: use_sim_time: True smoother_plugins: ["simple_smoother"] simple_smoother: plugin: "nav2_smoother::SimpleSmoother" tolerance: 1.0e-10 max_its: 1000 refinement_num: 2 # True for Hybrid A* or State Lattice to not smooth over directional changes enforce_path_inversion: True do_refinement: True behavior_server: ros__parameters: use_sim_time: True local_costmap_topic: local_costmap/costmap_raw global_costmap_topic: global_costmap/costmap_raw local_footprint_topic: local_costmap/published_footprint global_footprint_topic: global_costmap/published_footprint cycle_frequency: 10.0 behavior_plugins: ["spin", "backup", "drive_on_heading", "assisted_teleop", "wait"] spin: plugin: "nav2_behaviors/Spin" backup: plugin: "nav2_behaviors/BackUp" acceleration_limit: 2.5 deceleration_limit: -2.5 minimum_speed: 0.10 drive_on_heading: plugin: "nav2_behaviors/DriveOnHeading" acceleration_limit: 2.5 deceleration_limit: -2.5 minimum_speed: 0.10 wait: plugin: "nav2_behaviors/Wait" assisted_teleop: plugin: "nav2_behaviors/AssistedTeleop" local_frame: odom global_frame: map robot_base_frame: base_link transform_tolerance: 0.2 simulate_ahead_time: 2.0 max_rotational_vel: 1.0 min_rotational_vel: 0.4 rotational_acc_lim: 3.2 waypoint_follower: ros__parameters: use_sim_time: True loop_rate: 20 stop_on_failure: false service_introspection_mode: "disabled" waypoint_task_executor_plugin: "wait_at_waypoint" wait_at_waypoint: plugin: "nav2_waypoint_follower::WaitAtWaypoint" enabled: True waypoint_pause_duration: 200 velocity_smoother: ros__parameters: use_sim_time: True smoothing_frequency: 20.0 scale_velocities: False feedback: "OPEN_LOOP" max_velocity: [1.0, 0.0, 2.0] min_velocity: [-0.5, 0.0, -2.0] max_accel: [2.5, 0.0, 3.2] max_decel: [-2.5, 0.0, -3.2] odom_topic: "odom" odom_duration: 0.1 deadband_velocity: [0.0, 0.0, 0.0] velocity_timeout: 1.0 # collision_monitor: # ros__parameters: # base_frame_id: "base_footprint" # odom_frame_id: "odom" # cmd_vel_in_topic: "cmd_vel_smoothed" # cmd_vel_out_topic: "cmd_vel" # state_topic: "collision_monitor_state" # transform_tolerance: 0.2 # source_timeout: 1.0 # base_shift_correction: True # stop_pub_timeout: 2.0 # # Polygons represent zone around the robot for "stop", "slowdown" and "limit" action types, # # and robot footprint for "approach" action type. # polygons: ["FootprintApproach"] # FootprintApproach: # type: "polygon" # action_type: "approach" # footprint_topic: "/local_costmap/published_footprint" # time_before_collision: 2.0 # simulation_time_step: 0.1 # min_points: 6 # visualize: False # enabled: True # observation_sources: ["scan"] # scan: # type: "scan" # topic: "scan" # min_height: 0.15 # max_height: 2.0 # enabled: True # docking_server: # ros__parameters: # controller_frequency: 50.0 # initial_perception_timeout: 5.0 # wait_charge_timeout: 5.0 # dock_approach_timeout: 30.0 # undock_linear_tolerance: 0.05 # undock_angular_tolerance: 0.1 # max_retries: 3 # base_frame: "base_link" # fixed_frame: "odom" # dock_prestaging_tolerance: 0.5 # service_introspection_mode: "disabled" # # Types of docks # dock_plugins: ["simple_charging_dock"] # simple_charging_dock: # plugin: "opennav_docking::SimpleChargingDock" # docking_threshold: 0.05 # staging_x_offset: -0.7 # use_external_detection_pose: true # use_battery_status: false # true # use_stall_detection: false # true # dock_direction: "forward" # external_detection_timeout: 1.0 # external_detection_translation_x: -0.18 # external_detection_translation_y: 0.0 # external_detection_rotation_roll: -1.57 # external_detection_rotation_pitch: -1.57 # external_detection_rotation_yaw: 0.0 # filter_coef: 0.1 # # Dock instances # # The following example illustrates configuring dock instances. # # docks: ['home_dock'] # Input your docks here # # home_dock: # # type: 'simple_charging_dock' # # frame: map # # pose: [0.0, 0.0, 0.0] # controller: # k_phi: 3.0 # k_delta: 2.0 # v_linear_min: 0.15 # v_linear_max: 0.15 # use_collision_detection: true # costmap_topic: "/local_costmap/costmap_raw" # footprint_topic: "/local_costmap/published_footprint" # transform_tolerance: 0.1 # projection_time: 5.0 # simulation_step: 0.1 # dock_collision_threshold: 0.3 # loopback_simulator: # ros__parameters: # base_frame_id: "base_footprint" # odom_frame_id: "odom" # map_frame_id: "map" # scan_frame_id: "base_scan" # tb4_loopback_simulator.launch.py remaps to 'rplidar_link' # update_duration: 0.02 # scan_range_min: 0.05 # scan_range_max: 30.0 # scan_angle_min: -3.1415 # scan_angle_max: 3.1415 # scan_angle_increment: 0.02617 # scan_use_inf: true