Robot randomly jumps around the map

[wojciechmadry]

Bug report

Required Info:

• Operating System:
  • Ubuntu 20.04 Focal
• ROS2 Version:
  • Galactic
• Version or commit hash:
  • ros-galactic-navigation2 1.0.12-1focal.20220730.081413
• DDS implementation:
  • FastDDS

Steps to reproduce the issue

1. ros2 launch turtlebot3_bringup robot.launch.py use_sim_time:=False # Launch robot (Raspberry PI)
2. ros2 launch turtlebot3_navigation2 navigation2.launch.py use_sim_time:=False # Launch Navigation2 (PC)
3. ros2 launch slam_toolbox online_async_launch.py use_sim_time:=False # Launch SLAM (PC)
4. Start mapping the world

Expected behavior

Map the entire map without random jumps

Actual behavior

Robot doesn't jump if we use slam to scan some room and after that run navigation2 (We tried a few times):

Mapped - streamable

Robot randomly jumps when we start navigation2 and slam_toolbox on the beginning and we try to map the room:

Unmapped - streamable

Additional information

We use physical Turtlebot3 (Jumps don't appear in simulation)
We checked multiple configurations like navigation and slam on Turtlebot or running parts of the nodes on PC (same network), and there were no differences.
We tried both navigation2 and turtlebot3_navigation2 and the behavior was the same.

All config files and launchers are below:

Navigation2 launcher:

# Copyright 2019 Open Source Robotics Foundation, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author: Darby Lim

import os

from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.actions import IncludeLaunchDescription
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node

TURTLEBOT3_MODEL = os.environ['TURTLEBOT3_MODEL']


def generate_launch_description():
    use_sim_time = LaunchConfiguration('use_sim_time', default='false')
    map_dir = LaunchConfiguration(
        'map',
        default=os.path.join(
            get_package_share_directory('turtlebot3_navigation2'),
            'map',
            'map.yaml'))

    param_file_name = TURTLEBOT3_MODEL + '.yaml'
    param_dir = LaunchConfiguration(
        'params_file',
        default=os.path.join(
            get_package_share_directory('turtlebot3_navigation2'),
            'param',
            param_file_name))

    nav2_launch_file_dir = os.path.join(get_package_share_directory('nav2_bringup'), 'launch')

    rviz_config_dir = os.path.join(
        get_package_share_directory('nav2_bringup'),
        'rviz',
        'nav2_default_view.rviz')

    return LaunchDescription([
        DeclareLaunchArgument(
            'map',
            default_value=map_dir,
            description='Full path to map file to load'),

        DeclareLaunchArgument(
            'params_file',
            default_value=param_dir,
            description='Full path to param file to load'),

        DeclareLaunchArgument(
            'use_sim_time',
            default_value='false',
            description='Use simulation (Gazebo) clock if true'),

        IncludeLaunchDescription(
            PythonLaunchDescriptionSource([nav2_launch_file_dir, '/bringup_launch.py']),
            launch_arguments={
                'map': map_dir,
                'use_sim_time': use_sim_time,
                'params_file': param_dir}.items(),
        ),

        Node(
            package='rviz2',
            executable='rviz2',
            name='rviz2',
            arguments=['-d', rviz_config_dir],
            parameters=[{'use_sim_time': use_sim_time}],
            output='screen'),
    ])

Navigation2 param file:

amcl:
  ros__parameters:
    use_sim_time: False
    alpha1: 0.2
    alpha2: 0.2
    alpha3: 0.2
    alpha4: 0.2
    alpha5: 0.2
    base_frame_id: "base_footprint"
    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: 2.0
    laser_max_range: 100.0
    laser_min_range: -1.0
    laser_model_type: "likelihood_field"
    max_beams: 60
    max_particles: 2000
    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
    robot_model_type: "differential"
    save_pose_rate: 0.5
    sigma_hit: 0.2
    tf_broadcast: true
    transform_tolerance: 1.0
    update_min_a: 0.2
    update_min_d: 0.25
    z_hit: 0.5
    z_max: 0.05
    z_rand: 0.5
    z_short: 0.05

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: /odom
    default_bt_xml_filename: "navigate_w_replanning_and_recovery.xml"
    bt_loop_duration: 10
    default_server_timeout: 20
    enable_groot_monitoring: True
    groot_zmq_publisher_port: 1666
    groot_zmq_server_port: 1667
    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_single_trigger_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: 0.001
    min_y_velocity_threshold: 0.5
    min_theta_velocity_threshold: 0.001
    failure_tolerance: 0.3
    progress_checker_plugin: "progress_checker"
    goal_checker_plugins: ["general_goal_checker"] 
    controller_plugins: ["FollowPath"]

    # Progress checker parameters
    progress_checker:
      plugin: "nav2_controller::SimpleProgressChecker"
      required_movement_radius: 0.5
      movement_time_allowance: 10.0
    
    general_goal_checker:
      stateful: True
      plugin: "nav2_controller::SimpleGoalChecker"
      xy_goal_tolerance: 0.25
      yaw_goal_tolerance: 0.25

    # DWB parameters
    FollowPath:
      plugin: "dwb_core::DWBLocalPlanner"
      debug_trajectory_details: True
      min_vel_x: 0.0
      min_vel_y: 0.0
      max_vel_x: 0.22
      max_vel_y: 0.0
      max_vel_theta: 1.0
      min_speed_xy: 0.0
      max_speed_xy: 0.22
      min_speed_theta: 0.0
      # Add high threshold velocity for turtlebot 3 issue.
      # https://github.com/ROBOTIS-GIT/turtlebot3_simulations/issues/75
      acc_lim_x: 2.5
      acc_lim_y: 0.0
      acc_lim_theta: 3.2
      decel_lim_x: -2.5
      decel_lim_y: 0.0
      decel_lim_theta: -3.2
      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: 0.25
      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: 0.05
      robot_radius: 0.22
      plugins: ["obstacle_layer", "voxel_layer", "inflation_layer"]
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 1.0
        inflation_radius: 0.55
      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"
      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:
        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: True
      robot_radius: 0.22
      resolution: 0.05
      track_unknown_space: true
      plugins: ["static_layer", "obstacle_layer", "voxel_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
      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
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 3.0
        inflation_radius: 0.55
      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: "map.yaml"

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: true
    simulate_ahead_time: 2.0
    max_rotational_vel: 1.0
    min_rotational_vel: 0.4
    rotational_acc_lim: 3.2

robot_state_publisher:
  ros__parameters:
    use_sim_time: False

waypoint_follower:
  ros__parameters:
    loop_rate: 200
    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

SLAM toolbox launcher:

import os

from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from ament_index_python.packages import get_package_share_directory


def generate_launch_description():
    use_sim_time = LaunchConfiguration('use_sim_time')
    slam_params_file = LaunchConfiguration('slam_params_file')

    declare_use_sim_time_argument = DeclareLaunchArgument(
        'use_sim_time',
        default_value='true',
        description='Use simulation/Gazebo clock')
    declare_slam_params_file_cmd = DeclareLaunchArgument(
        'slam_params_file',
        default_value=os.path.join(get_package_share_directory("slam_toolbox"),
                                   'config', 'mapper_params_online_async.yaml'),
        description='Full path to the ROS2 parameters file to use for the slam_toolbox node')

    start_async_slam_toolbox_node = Node(
        parameters=[
          slam_params_file,
          {'use_sim_time': use_sim_time}
        ],
        package='slam_toolbox',
        executable='async_slam_toolbox_node',
        name='slam_toolbox',
        output='screen')

    ld = LaunchDescription()

    ld.add_action(declare_use_sim_time_argument)
    ld.add_action(declare_slam_params_file_cmd)
    ld.add_action(start_async_slam_toolbox_node)

    return ld

SLAM toolbox param file:

slam_toolbox:
  ros__parameters:

    # Plugin params
    solver_plugin: solver_plugins::CeresSolver
    ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
    ceres_preconditioner: SCHUR_JACOBI
    ceres_trust_strategy: LEVENBERG_MARQUARDT
    ceres_dogleg_type: TRADITIONAL_DOGLEG
    ceres_loss_function: None

    # ROS Parameters
    odom_frame: odom
    map_frame: map
    base_frame: base_footprint
    scan_topic: /scan
    mode: mapping #localization

    # if you'd like to immediately start continuing a map at a given pose
    # or at the dock, but they are mutually exclusive, if pose is given
    # will use pose
    #map_file_name: test_steve
    # map_start_pose: [0.0, 0.0, 0.0]
    #map_start_at_dock: true

    debug_logging: false
    throttle_scans: 1
    transform_publish_period: 0.02 #if 0 never publishes odometry
    map_update_interval: 5.0
    resolution: 0.05
    max_laser_range: 20.0 #for rastering images
    minimum_time_interval: 0.5
    transform_timeout: 0.2
    tf_buffer_duration: 30.
    stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
    enable_interactive_mode: true

    # General Parameters
    use_scan_matching: true
    use_scan_barycenter: true
    minimum_travel_distance: 0.5
    minimum_travel_heading: 0.5
    scan_buffer_size: 10
    scan_buffer_maximum_scan_distance: 10.0
    link_match_minimum_response_fine: 0.1  
    link_scan_maximum_distance: 1.5
    loop_search_maximum_distance: 3.0
    do_loop_closing: true 
    loop_match_minimum_chain_size: 10           
    loop_match_maximum_variance_coarse: 3.0  
    loop_match_minimum_response_coarse: 0.35    
    loop_match_minimum_response_fine: 0.45

    # Correlation Parameters - Correlation Parameters
    correlation_search_space_dimension: 0.5
    correlation_search_space_resolution: 0.01
    correlation_search_space_smear_deviation: 0.1 

    # Correlation Parameters - Loop Closure Parameters
    loop_search_space_dimension: 8.0
    loop_search_space_resolution: 0.05
    loop_search_space_smear_deviation: 0.03

    # Scan Matcher Parameters
    distance_variance_penalty: 0.5      
    angle_variance_penalty: 1.0    

    fine_search_angle_offset: 0.00349     
    coarse_search_angle_offset: 0.349   
    coarse_angle_resolution: 0.0349        
    minimum_angle_penalty: 0.9
    minimum_distance_penalty: 0.5
    use_response_expansion: true

Robot (TurtleBot 3) launcher:

#!/usr/bin/env python3
#
# Copyright 2019 ROBOTIS CO., LTD.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Authors: Darby Lim

import os

from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.actions import IncludeLaunchDescription
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration
from launch.substitutions import ThisLaunchFileDir
from launch_ros.actions import Node


def generate_launch_description():
    TURTLEBOT3_MODEL = os.environ['TURTLEBOT3_MODEL']
    LDS_MODEL = os.environ['LDS_MODEL']
    LDS_LAUNCH_FILE = '/hlds_laser.launch.py'

    usb_port = LaunchConfiguration('usb_port', default='/dev/ttyACM0')

    tb3_param_dir = LaunchConfiguration(
        'tb3_param_dir',
        default=os.path.join(
            get_package_share_directory('turtlebot3_bringup'),
            'param',
            TURTLEBOT3_MODEL + '.yaml'))

    if LDS_MODEL == 'LDS-01':
        lidar_pkg_dir = LaunchConfiguration(
            'lidar_pkg_dir',
            default=os.path.join(get_package_share_directory('hls_lfcd_lds_driver'), 'launch'))
    elif LDS_MODEL == 'LDS-02':
        lidar_pkg_dir = LaunchConfiguration(
            'lidar_pkg_dir',
            default=os.path.join(get_package_share_directory('ld08_driver'), 'launch'))
        LDS_LAUNCH_FILE = '/ld08.launch.py'
    else:
        lidar_pkg_dir = LaunchConfiguration(
            'lidar_pkg_dir',
            default=os.path.join(get_package_share_directory('hls_lfcd_lds_driver'), 'launch'))

    use_sim_time = LaunchConfiguration('use_sim_time', default='false')

    return LaunchDescription([
        DeclareLaunchArgument(
            'use_sim_time',
            default_value=use_sim_time,
            description='Use simulation (Gazebo) clock if true'),

        DeclareLaunchArgument(
            'usb_port',
            default_value=usb_port,
            description='Connected USB port with OpenCR'),

        DeclareLaunchArgument(
            'tb3_param_dir',
            default_value=tb3_param_dir,
            description='Full path to turtlebot3 parameter file to load'),

        IncludeLaunchDescription(
            PythonLaunchDescriptionSource(
                [ThisLaunchFileDir(), '/turtlebot3_state_publisher.launch.py']),
            launch_arguments={'use_sim_time': use_sim_time}.items(),
        ),

        IncludeLaunchDescription(
            PythonLaunchDescriptionSource([lidar_pkg_dir, LDS_LAUNCH_FILE]),
            launch_arguments={'port': '/dev/ttyUSB0', 'frame_id': 'base_scan'}.items(),
        ),

        Node(
            package='turtlebot3_node',
            executable='turtlebot3_ros',
            parameters=[tb3_param_dir],
            arguments=['-i', usb_port],
            output='screen'),
    ])

Robot (TurtleBot 3) param file:

turtlebot3_node:
  ros__parameters:

    opencr:
      id: 200
      baud_rate: 1000000
      protocol_version: 2.0

    wheels:
      separation: 0.287
      radius: 0.033

    motors:
      profile_acceleration_constant: 214.577

      # [rev/min2]
      # ref) http://emanual.robotis.com/docs/en/dxl/x/xl430-w250/#profile-acceleration
      profile_acceleration: 0.0

    sensors:
      bumper_1: false
      bumper_2: false

      illumination: false

      ir: false

      sonar: false

diff_drive_controller:
  ros__parameters:

    odometry:
      publish_tf: true
      use_imu: true
      frame_id: "odom"
      child_frame_id: "base_footprint"

[arslogavitabrevis]

Both AMCL and slam_toolbox are giving the position inside the map (map frame to odom frame). When you start the navigation with the slam toolbox you have two node giving concurrently giving this position. I think this may explain the jump you see in the simulation. You should try to disable AMCL while mapping with custom launch file.

[SteveMacenski]

@arslogavitabrevis is correct

[wojciechmadry]

Hey @SteveMacenski, @arslogavitabrevis,
Thanks a lot for the answers!
You are right that if AMCL works simultaneously with SLAM, the robot randomly jumps, but in our case, AMCL is not started.
This video present how it works when we enable AMCL:
Slam and AMCL working together
(At the end of this video there is the biggest jump, this is our problem)

We tested it with, firstly running only slam to map the office with slam_toolbox and then we turned off slam and loaded .yaml map to navigation stack:
Navigation2 Jump without SLAM -> First example
Navigation2 Jump without SLAM -> Second example

In the case above I load the map to navigation using these commands:

ros2 launch turtlebot3_bringup robot.launch.py  use_sim_time:=False // This is run on turtlebot3
ros2 launch nav2_bringup bringup_launch.py use_sim_time:=False autostart:=True map:=path/map.yaml // This is run on PC in the same network

We also follow nav2 with slam and the result was the same:

If you did not encounter a similar problem maybe you could lead us, where start to searching for a solution.

[arslogavitabrevis]

You launch the navigation including this file:
IncludeLaunchDescription(
PythonLaunchDescriptionSource([nav2_launch_file_dir, '/bringup_launch.py']),
launch_arguments={
'map': map_dir,
'use_sim_time': use_sim_time,
'params_file': param_dir}.items(),
),

The bringup_launch.py include the localisation_launch.py that launch the AMCL node.

If you want you can do a 'ros2 node list' to check if they are both lauch. You may also get some interesting informations from the command 'ros2 topic info /tf -v' if you check for publisher.

[wojciechmadry]

Hey, @arslogavitabrevis, @SteveMacenski we found the solution, it wasn't related to navigation or slam.
I've linked the issue from turtlebot which describes the problem. FYI the root cause was an unhandled exception, from the hardware = which was later used in odometry calculation (value 0xFDFDFDFD) which caused odometry to change drastically e.g 900 to -51673. Because of that robot changed its position drastically on the map.