amcl:
  ros__parameters:
    use_sim_time: false
    # HUMBLE: plugin name (replaces Galactic "robot_model_type")
    motion_model_type: "nav2_amcl::DifferentialMotionModel"
    alpha1: 0.005
    alpha2: 0.005
    alpha3: 0.005
    alpha4: 0.005
    alpha5: 0.005
    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: 6.0
    laser_max_range: 100.0
    laser_min_range: -1.0
    laser_model_type: "likelihood_field"
    max_beams: 60
    max_particles: 3000
    min_particles: 500
    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
    save_pose_rate: 0.5
    tf_broadcast: true
    transform_tolerance: 1.0
    update_min_a: 0.2
    update_min_d: 0.25
    z_hit: 0.9
    z_max: 0.05
    z_rand: 0.5
    z_short: 0.05
    sigma_hit: 0.05
    scan_topic: /scan
    map_topic: map
    set_initial_pose: true
    always_reset_initial_pose: false
    first_map_only: false
    initial_pose:
      x: 0.0
      y: 0.0
      z: 0.0
      yaw: 0.0

amcl_map_client:
  ros__parameters:
    use_sim_time: false

amcl_rclcpp_node:
  ros__parameters:
    use_sim_time: false

bt_navigator:
  ros__parameters:
    use_sim_time: false
    global_frame: map
    robot_base_frame: base_link
    odom_topic: /lidar_odom
    default_bt_xml_filename: navigate_w_replanning_time.xml
    plugin_lib_names:
      - nav2_compute_path_to_pose_action_bt_node
      - nav2_compute_path_through_poses_action_bt_node
      - nav2_follow_path_action_bt_node
      - nav2_back_up_action_bt_node
      - nav2_spin_action_bt_node
      - nav2_wait_action_bt_node
      - nav2_clear_costmap_service_bt_node
      - nav2_is_stuck_condition_bt_node
      - nav2_goal_reached_condition_bt_node
      - nav2_goal_updated_condition_bt_node
      - nav2_initial_pose_received_condition_bt_node
      - nav2_reinitialize_global_localization_service_bt_node
      - nav2_rate_controller_bt_node
      - nav2_distance_controller_bt_node
      - nav2_speed_controller_bt_node
      - nav2_truncate_path_action_bt_node
      - nav2_goal_updater_node_bt_node
      - nav2_recovery_node_bt_node
      - nav2_pipeline_sequence_bt_node
      - nav2_round_robin_node_bt_node
      - nav2_transform_available_condition_bt_node
      - nav2_time_expired_condition_bt_node
      - nav2_distance_traveled_condition_bt_node
      - nav2_is_battery_low_condition_bt_node
      - nav2_navigate_through_poses_action_bt_node
      - nav2_navigate_to_pose_action_bt_node
      - nav2_remove_passed_goals_action_bt_node
      - nav2_planner_selector_bt_node
      - nav2_controller_selector_bt_node
      - nav2_goal_checker_selector_bt_node

bt_navigator_rclcpp_node:
  ros__parameters:
    use_sim_time: false

controller_server:
  ros__parameters:
    use_sim_time: false
    controller_frequency: 20.0
    min_x_velocity_threshold: 0.01
    min_y_velocity_threshold: 0.5
    min_theta_velocity_threshold: 0.01
    failure_tolerance: 0.3
    odom_topic: "/lidar_odom"
    progress_checker_plugin: "progress_checker"
    goal_checker_plugins: ["general_goal_checker"]
    controller_plugins: ["FollowPath"]

    progress_checker:
      plugin: "nav2_controller::SimpleProgressChecker"
      required_movement_radius: 1.0
      movement_time_allowance: 20.0

    general_goal_checker:
      stateful: true
      plugin: "nav2_controller::SimpleGoalChecker"
      xy_goal_tolerance: 0.35
      yaw_goal_tolerance: 0.25

    FollowPath:
      plugin: "dwb_core::DWBLocalPlanner"
      debug_trajectory_details: true
      min_vel_x: 0.0
      min_vel_y: 0.0
      max_vel_x: 0.7
      max_vel_y: 0.0
      max_vel_theta: 0.6
      min_speed_xy: 0.0
      max_speed_xy: 0.7
      min_speed_theta: 0.1
      acc_lim_x: 0.8
      acc_lim_y: 0.0
      acc_lim_theta: 1.2
      decel_lim_x: -1.0
      decel_lim_y: 0.0
      decel_lim_theta: -1.5
      vx_samples: 20
      vy_samples: 5
      vtheta_samples: 20
      sim_time: 1.7
      linear_granularity: 0.05
      angular_granularity: 0.025
      transform_tolerance: 0.2
      xy_goal_tolerance: 0.35
      trans_stopped_velocity: 0.25
      short_circuit_trajectory_evaluation: true
      stateful: true
      critics: ["RotateToGoal", "Oscillation", "BaseObstacle", "GoalAlign", "PathAlign", "PathDist", "GoalDist"]
      BaseObstacle.scale: 0.02
      PathAlign.scale: 32.0
      PathAlign.forward_point_distance: 0.1
      GoalAlign.scale: 24.0
      GoalAlign.forward_point_distance: 0.1
      PathDist.scale: 32.0
      GoalDist.scale: 24.0
      RotateToGoal.scale: 32.0
      RotateToGoal.slowing_factor: 5.0
      RotateToGoal.lookahead_time: -1.0

controller_server_rclcpp_node:
  ros__parameters:
    use_sim_time: false

local_costmap:
  local_costmap:
    ros__parameters:
      update_frequency: 5.0
      publish_frequency: 2.0
      global_frame: odom
      robot_base_frame: base_link
      use_sim_time: false
      rolling_window: true
      width: 3
      height: 3
      resolution: 0.025
      footprint: "[ [0.32, 0.32], [0.32, -0.32], [-0.32, -0.32], [-0.32, 0.32] ]"
      plugins: ["obstacle_layer", "stvl_layer", "inflation_layer"]

      obstacle_layer:
        plugin: "nav2_costmap_2d::ObstacleLayer"
        enabled: true
        observation_sources: scan
        footprint_clearing_enabled: true
        max_obstacle_height: 2.0
        combination_method: 1
        scan:
          topic: /scan
          obstacle_max_range: 2.5
          obstacle_min_range: 0.0
          raytrace_max_range: 3.0
          raytrace_min_range: 0.0
          max_obstacle_height: 2.0
          min_obstacle_height: 0.0
          clearing: true
          marking: true
          data_type: "LaserScan"
          inf_is_valid: false

      # ---- Spatio-Temporal Voxel Layer (STVL) ----
      stvl_layer:
        plugin: "spatio_temporal_voxel_layer/SpatioTemporalVoxelLayer"
        enabled: true
        voxel_decay: 5.0              # seconds (for decay_model 0)
        decay_model: 0                 # 0=linear, 1=exponential
        voxel_size: 0.05
        track_unknown_space: true
        unknown_threshold: 15
        mark_threshold: 0
        update_footprint_enabled: true
        combination_method: 1
        origin_z: 0.0
        publish_voxel_map: true
        transform_tolerance: 0.2
        mapping_mode: false
        map_save_duration: 60.0
        observation_sources: rgbd1_mark rgbd1_clear

        rgbd1_mark:
          data_type: PointCloud2
          topic: /cloud_registered_body      # <-- set to your cloud topic (e.g. /cloud_registered_body_be)
          marking: true
          clearing: false
          obstacle_range: 3.0          # meters
          min_obstacle_height: -5.0     # default 0, meters
          max_obstacle_height: 10.0     # default 3, meters,
          expected_update_rate: 10.0    # default 0, if not updating at this rate at least, remove from buffer
          observation_persistence: 0.0 # default 0, use all measurements taken during now-value, 0=latest
          inf_is_valid: false          # default false, for laser scans
          filter: "voxel"        # default passthrough, apply "voxel", "passthrough", or no filter to sensor data, recommend on
          voxel_min_points: 0          # default 0, minimum points per voxel for voxel filter
          clear_after_reading: true    # default false, clear the buffer after the layer gets readings from it

        rgbd1_clear:
          enabled: true
          data_type: PointCloud2
          topic: /cloud_registered_body  # <-- same cloud
          marking: false
          clearing: true
          min_z: -2.0               # default 0, meters
          max_z: 5.0                  # default 10, meters
          vertical_fov_angle: 1.03   # default 0.7, radians. For 3D lidars it's the symmetric FOV about the planar axis.
          vertical_fov_padding: 0.05    # 3D Lidar only. Default 0, in meters 
          horizontal_fov_angle: 6.29  # 3D lidar scanners like the VLP16 have 360 deg horizontal FOV.
          decay_acceleration: 0.0     # default 0, 1/s^2. 
          model_type: 1               # default 0, model type for frustum. 0=depth camera, 1=3d lidar like VLP16 or similar
      
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 1.5
        inflation_radius: 0.6

      static_layer:
        map_subscribe_transient_local: true

      always_send_full_costmap: true

  local_costmap_client:
    ros__parameters:
      use_sim_time: false
  local_costmap_rclcpp_node:
    ros__parameters:
      use_sim_time: false

global_costmap:
  global_costmap:
    ros__parameters:
      update_frequency: 1.0
      publish_frequency: 1.0
      global_frame: map
      robot_base_frame: base_link
      use_sim_time: false
      rolling_window: false
      footprint: "[ [0.32, 0.32], [0.32, -0.32], [-0.32, -0.32], [-0.32, 0.32] ]"
      resolution: 0.05
      track_unknown_space: true
      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: 0.55

      # stvl_layer:
      #   plugin: "spatio_temporal_voxel_layer/SpatioTemporalVoxelLayer" # For Foxy and later
      #   enabled: true
      #   voxel_decay: 20.0
      #   decay_model: 0 #-1
      #   voxel_size: 0.05
      #   track_unknown_space: true
      #   unknown_threshold: 15
      #   mark_threshold: 0
      #   update_footprint_enabled: true
      #   combination_method: 1
      #   origin_z: 0.0
      #   publish_voxel_map: true
      #   transform_tolerance: 0.2
      #   mapping_mode: false
      #   map_save_duration: 60.0
      #   observation_sources: rgbd1_mark rgbd1_clear
      #   rgbd1_mark:
      #     data_type: PointCloud2
      #     topic: /cloud_registered_body
      #     marking: true
      #     clearing: false
      #     obstacle_range: 3.0          # meters
      #     min_obstacle_height: 0.0     # default 0, meters
      #     # max for office should be 1.2
      #     # max for playgroun should be 10
      #     max_obstacle_height: 10.0     # default 3, meters,
      #     expected_update_rate: 0.0    # default 0, if not updating at this rate at least, remove from buffer
      #     observation_persistence: 0.0 # default 0, use all measurements taken during now-value, 0=latest
      #     inf_is_valid: false          # default false, for laser scans
      #     filter: "voxel"        # default passthrough, apply "voxel", "passthrough", or no filter to sensor data, recommend on     voxel_min_points: 0          # default 0, minimum points per voxel for voxel filter
      #     clear_after_reading: true    # default false, clear the buffer after the layer gets readings from it
      #   rgbd1_clear:
      #     enabled: true                #default true, can be toggled on/off with associated service call
      #     data_type: PointCloud2
      #     topic: /cloud_registered_body    # <- change to your cloud topic (e.g. /cloud_registered_body_be)
      #     marking: false
      #     clearing: true
      #     min_z: -5.0                 # default 10, meters
      #     max_z: 10.0                  # default 0, meters
      #     vertical_fov_angle: 0.6   # default 0.7, radians. For 3D lidars it's the symmetric FOV about the planar axis.
      #     vertical_fov_padding: 0.05    # 3D Lidar only. Default 0, in meters 
      #     horizontal_fov_angle: 6.29  # 3D lidar scanners like the VLP16 have 360 deg horizontal FOV.
      #     decay_acceleration: 0.0     # default 0, 1/s^2. 
      #     model_type: 1               # default 0, model type for frustum. 0=depth camera, 1=3d lidar like VLP16 or similar 
      always_send_full_costmap: true

  global_costmap_client:
    ros__parameters:
      use_sim_time: false
  global_costmap_rclcpp_node:
    ros__parameters:
      use_sim_time: false

map_server:
  ros__parameters:
    use_sim_time: false
    yaml_filename: /home/user/AMIGA_Robot/fast_lio_ws/Maps/.yaml  # <- change to your map if needed

map_saver:
  ros__parameters:
    use_sim_time: false
    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
    use_sim_time: false
    planner_plugins: ["GridBased"]
    GridBased:
      plugin: "nav2_navfn_planner/NavfnPlanner"
      tolerance: 0.5
      use_astar: false
      allow_unknown: true

planner_server_rclcpp_node:
  ros__parameters:
    use_sim_time: false

recoveries_server:
  ros__parameters:
    costmap_topic: local_costmap/costmap_raw
    footprint_topic: local_costmap/published_footprint
    cycle_frequency: 10.0
    recovery_plugins: ["spin", "backup", "wait"]
    spin:
      plugin: "nav2_recoveries/Spin"
    backup:
      plugin: "nav2_recoveries/BackUp"
    wait:
      plugin: "nav2_recoveries/Wait"
    global_frame: odom
    robot_base_frame: base_link
    transform_timeout: 0.1
    use_sim_time: false
    simulate_ahead_time: 2.0
    max_rotational_vel: 0.3
    min_rotational_vel: 0.1
    rotational_acc_lim: 2.5

robot_state_publisher:
  ros__parameters:
    use_sim_time: false

waypoint_follower:
  ros__parameters:
    loop_rate: 20
    stop_on_failure: false
    waypoint_task_executor_plugin: "wait_at_waypoint"
    wait_at_waypoint:
      plugin: "nav2_waypoint_follower::WaitAtWaypoint"
      enabled: true
      waypoint_pause_duration: 200
