amcl:
  ros__parameters:
    set_initial_pose: true
    initial_pose: 
      x: 0.0
      y: 0.0
      yaw: 0.0
    #use_sim_time: False
    alpha1: 0.05
    alpha2: 0.01
    alpha3: 0.04
    alpha4: 0.005
    alpha5: 0.01
    base_frame_id: "base_link"
    beam_skip_distance: 0.5
    beam_skip_error_threshold: 0.9
    beam_skip_threshold: 0.3
    do_beamskip: false
    global_frame_id: "map"
    lambda_short: 0.1
    laser_likelihood_max_dist: 10.0
    laser_max_range: 100.0
    laser_min_range: 0.3
    laser_model_type: "likelihood_field"
    max_beams: 1000
    max_particles: 2000
    min_particles: 1000
    odom_frame_id: "odom"
    pf_err: 0.05
    pf_z: 0.99
    recovery_alpha_fast: 0.0
    recovery_alpha_slow: 0.0
    resample_interval: 1
    robot_model_type: "nav2_amcl::DifferentialMotionModel"
    save_pose_rate: 0.5
    sigma_hit: 0.2
    tf_broadcast: true
    transform_tolerance: 1.0
    update_min_a: 0.15
    update_min_d: 0.25
    z_hit: 0.9
    z_max: 0.05
    z_rand: 0.5
    z_short: 0.05
    scan_topic: scan

bt_navigator:
  ros__parameters:
    global_frame: map
    robot_base_frame: base_link
    odom_topic: /odom
    bt_loop_duration: 10
    default_server_timeout: 20
    wait_for_service_timeout: 1000
    action_server_result_timeout: 900.0
    # 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: "/home/hoc3hc/nav2_ws/src/navigation2/nav2_bt_navigator/behavior_trees/navigate_to_pose_w_replanning_goal_patience_and_recovery.xml"
    #default_nav_through_poses_bt_xml: "/home/hoc3hc/nav2_ws/src/navigation2/nav2_bt_navigator/behavior_trees/navigate_to_pose_w_replanning_goal_patience_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_names:
      - compute_path_error_code
      - follow_path_error_code

controller_server:
  ros__parameters:
    controller_frequency: 10.0
    min_x_velocity_threshold: 0.001
    min_y_velocity_threshold: 0.5
    min_theta_velocity_threshold: 0.001
    failure_tolerance: 0.3
    progress_checker_plugins: ["progress_checker"]
    goal_checker_plugins: ["general_goal_checker"] # "precise_goal_checker"
    controller_plugins: ["FollowPath"]
    use_realtime_priority: false

    # 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: 0.2
      yaw_goal_tolerance: 0.05
    FollowPath:
      plugin: "nav2_mppi_controller::MPPIController"
      time_steps: 30
      model_dt: 0.1
      batch_size: 2000
      ax_max: 0.5
      ax_min: -0.5
      ay_max: 0.0
      az_max: 0.8
      vx_std: 0.2
      vy_std: 0.2
      wz_std: 0.4
      vx_max: 0.5
      vx_min: 0.0
      vy_max: 0.0
      wz_max: 0.8
      iteration_count: 1
      prune_distance: 1.7
      transform_tolerance: 0.1
      temperature: 0.3
      gamma: 0.015
      motion_model: "DiffDrive"
      visualize: true
      regenerate_noises: true
      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: 20.0
        threshold_to_consider: 1.4
      GoalAngleCritic:
        enabled: true
        cost_power: 1
        cost_weight: 3.0
        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
        # critical_cost: 300.0
        # consider_footprint: true
        # collision_cost: 1000000.0
        # near_goal_distance: 1.0
        # trajectory_point_step: 2
      PathAlignCritic:
        enabled: true
        cost_power: 1
        cost_weight: 14.0
        max_path_occupancy_ratio: 0.05
        trajectory_point_step: 4
        threshold_to_consider: 0.5
        offset_from_furthest: 20
        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: 2.0
        offset_from_furthest: 4
        threshold_to_consider: 0.5
        max_angle_to_furthest: 1.0
        mode: 0
      # TwirlingCritic:
      #   enabled: true
      #   twirling_cost_power: 1
      #   twirling_cost_weight: 10.0

local_costmap:
  local_costmap:
    ros__parameters:
      update_frequency: 5.0
      publish_frequency: 2.0
      global_frame: odom
      robot_base_frame: base_link
      rolling_window: true
      width: 3
      height: 3
      resolution: 0.05
      #robot_radius: 0.22
      footprint: "[[-0.32, 0.288], [-0.32, -0.288], [0.32, -0.288], [0.32, 0.288]]"
      plugins: ["voxel_layer", "inflation_layer"]
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 3.0
        inflation_radius: 0.70
      voxel_layer:
        plugin: "nav2_costmap_2d::VoxelLayer"
        enabled: True
        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: 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
      static_layer:
        plugin: "nav2_costmap_2d::StaticLayer"
        map_subscribe_transient_local: True
      always_send_full_costmap: True

global_costmap:
  global_costmap:
    ros__parameters:
      update_frequency: 1.0
      publish_frequency: 1.0
      global_frame: map
      robot_base_frame: base_link
      #robot_radius: 0.22
      footprint: "[[-0.32, 0.288], [-0.32, -0.288], [0.32, -0.288], [0.32, 0.288]]"
      resolution: 0.05
      track_unknown_space: false
      plugins: ["static_layer", "obstacle_layer", "inflation_layer"]
      obstacle_layer:
        plugin: "nav2_costmap_2d::ObstacleLayer"
        enabled: 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
      static_layer:
        plugin: "nav2_costmap_2d::StaticLayer"
        map_subscribe_transient_local: True
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 3.0
        inflation_radius: 0.7
      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

planner_server:
  ros__parameters:
    expected_planner_frequency: 20.0
    planner_plugins: ["GridBased"]
    GridBased:
      plugin: "nav2_navfn_planner::NavfnPlanner"
      tolerance: 0.5
      use_astar: false
      allow_unknown: false

smoother_server:
  ros__parameters:
    use_sim_time: True
    smoother_plugins: ["SmoothPath"]

    SmoothPath:
      plugin: "nav2_constrained_smoother/ConstrainedSmoother"
      reversing_enabled: false       # whether to detect forward/reverse direction and cusps. Should be set to false for paths without orientations assigned
      path_downsampling_factor: 3   # every n-th node of the path is taken. Useful for speed-up
      path_upsampling_factor: 1     # 0 - path remains downsampled, 1 - path is upsampled back to original granularity using cubic bezier, 2... - more upsampling
      keep_start_orientation: true  # whether to prevent the start orientation from being smoothed
      keep_goal_orientation: true   # whether to prevent the gpal orientation from being smoothed
      minimum_turning_radius: 0.40  # minimum turning radius the robot can perform. Can be set to 0.0 (or w_curve can be set to 0.0 with the same effect) for diff-drive/holonomic robots
      w_curve: 30.0                 # weight to enforce minimum_turning_radius
      w_dist: 0.0                   # weight to bind path to original as optional replacement for cost weight
      w_smooth: 2000000.0           # weight to maximize smoothness of path
      w_cost: 0.015                 # weight to steer robot away from collision and cost

      # Parameters used to improve obstacle avoidance near cusps (forward/reverse movement changes)
      w_cost_cusp_multiplier: 3.0   # option to use higher weight during forward/reverse direction change which is often accompanied with dangerous rotations
      cusp_zone_length: 2.5         # length of the section around cusp in which nodes use w_cost_cusp_multiplier (w_cost rises gradually inside the zone towards the cusp point, whose costmap weight eqals w_cost*w_cost_cusp_multiplier)

      # Points in robot frame to grab costmap values from. Format: [x1, y1, weight1, x2, y2, weight2, ...]
      # IMPORTANT: Requires much higher number of iterations to actually improve the path. Uncomment only if you really need it (highly elongated/asymmetric robots)
      # cost_check_points: [-0.185, 0.0, 1.0]

      optimizer:
        max_iterations: 70            # max iterations of smoother
        debug_optimizer: false        # print debug info
        gradient_tol: 5000.0
        fn_tol: 0.000000000000001
        param_tol: 0.00000000000000000001

behavior_server:
  ros__parameters:
    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"
    drive_on_heading:
      plugin: "nav2_behaviors::DriveOnHeading"
    wait:
      plugin: "nav2_behaviors::Wait"
    assisted_teleop:
      plugin: "nav2_behaviors::AssistedTeleop"
    local_frame: odom
    global_frame: map
    robot_base_frame: base_link
    transform_tolerance: 0.1
    simulate_ahead_time: 2.0
    max_rotational_vel: 0.6
    min_rotational_vel: 0.4
    rotational_acc_lim: 0.6

waypoint_follower:
  ros__parameters:
    loop_rate: 20
    stop_on_failure: false
    action_server_result_timeout: 900.0
    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:
    smoothing_frequency: 20.0
    scale_velocities: False
    feedback: "OPEN_LOOP"
    max_velocity: [0.5, 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_link"
    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: 1.2
      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_backwards: false
    dock_prestaging_tolerance: 0.5

    # 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

      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

loopback_simulator:
  ros__parameters:
    base_frame_id: "base_link"
    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

<!--
  This BT has all the functionalities of navigate_to_pose_w_replanning_and_recovery.xml,
  with an additional feature to cancel the control closer to the goal proximity and
  make the robot wait for a specific time, to see if the obstacle clears out before
  navigating along a significantly longer path to reach the goal location.
-->
<root BTCPP_format="4" main_tree_to_execute="MainTree">
  <BehaviorTree ID="MainTree">
    <RecoveryNode number_of_retries="6" name="NavigateRecovery">
      <PipelineSequence name="NavigateWithReplanning">
        <ControllerSelector selected_controller="{selected_controller}" default_controller="FollowPath" topic_name="controller_selector"/>
        <PlannerSelector selected_planner="{selected_planner}" default_planner="GridBased" topic_name="planner_selector"/>
        <RateController hz="1.0">
          <RecoveryNode number_of_retries="1" name="ComputePathToPose">
            <ComputePathToPose goal="{goal}" path="{path}" planner_id="{selected_planner}" error_code_id="{compute_path_error_code}"/>
            <ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
          </RecoveryNode>
        </RateController>
        <ReactiveSequence name="MonitorAndFollowPath">
          <PathLongerOnApproach path="{path}" prox_len="20" length_factor="1.01">
            <RetryUntilSuccessful num_attempts="1">
              <SequenceWithMemory name="CancelingControlAndWait">
                <CancelControl name="ControlCancel"/>
                <Wait wait_duration="10.0"/>
              </SequenceWithMemory>
            </RetryUntilSuccessful>
          </PathLongerOnApproach>
          <RecoveryNode number_of_retries="1" name="FollowPath">
            <FollowPath path="{path}" controller_id="{selected_controller}" error_code_id="{follow_path_error_code}"/>
            <ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
          </RecoveryNode>
        </ReactiveSequence>
      </PipelineSequence>
      <ReactiveFallback name="RecoveryFallback">
        <GoalUpdated/>
        <RoundRobin name="RecoveryActions">
          <Sequence name="ClearingActions">
            <ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
            <ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
          </Sequence>
          <Spin spin_dist="1.57"/>
          <Wait wait_duration="5.0"/>
          <BackUp backup_dist="0.30" backup_speed="0.15"/>
        </RoundRobin>
      </ReactiveFallback>
    </RecoveryNode>
  </BehaviorTree>
</root>