Unable to reverse when navigating with Ackerman model robot

[miku54]

• Operating System:
  • ubuntu20.04
• ROS2 Version:
  • Galactic Based on this problem: #2983 , I upgraded the ROS2 version and currently use the Galactic version for navigation testing. Strangely, when navigating with the nav2_regulated_pure_pursuit_controlle controller, my robot is still unable to reverse. On the contrary, when I use the DWBLocalPlanner controller, I can "occasionally" achieve the reverse effect, but it cannot always park accurately at the target point. Attaching my parameter file here, do I need to change those?

[miku54]

[padhupradheep]

what planner are you using? I see from the last issue, that it is an Ackermann drive. In that case, you have to use the smac_planner and use the reed-shepp motion model. Here is the documentation for the smac hybrid planner https://navigation.ros.org/configuration/packages/smac/configuring-smac-hybrid.html

[miku54]

[miku54]

The parameters I use are as :

`
amcl:
  ros__parameters:
    use_sim_time: False
    alpha1: 0.9
    alpha2: 0.1
    alpha3: 0.05
    alpha4: 0.01
    alpha5: 0.04
    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_combined"
    pf_err: 0.02
    pf_z: 0.85
    recovery_alpha_fast: 0.0
    recovery_alpha_slow: 0.0
    resample_interval: 2
    robot_model_type: "differential"
    save_pose_rate: 0.5
    sigma_hit: 0.02
    tf_broadcast: true
    transform_tolerance: 0.5
    update_min_a: 0.06
    update_min_d: 0.025
    z_hit: 0.7
    z_max: 0.001
    z_rand: 0.059
    z_short: 0.24

    # Initial Pose
    set_initial_pose: True
    initial_pose.x: 0.0
    initial_pose.y: 0.0
    initial_pose.z: 0.0
    initial_pose.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_footprint
    odom_topic: /odom_combined
    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: True
    controller_frequency: 20.0
    min_x_velocity_threshold: -0.6
    min_y_velocity_threshold: 0.5
    min_theta_velocity_threshold: 0.001
    failure_tolerance: 0.3
    progress_checker_plugin: "progress_checker"
    goal_checker_plugin: "goal_checker" # "precise_goal_checker"
    controller_plugins: ["FollowPath"]

    progress_checker:
      plugin: "nav2_controller::SimpleProgressChecker"
      required_movement_radius: 0.5
      movement_time_allowance: 10.0

    goal_checker:
      plugin: "nav2_controller::SimpleGoalChecker"
      xy_goal_tolerance: 0.1
      yaw_goal_tolerance: 0.3
      stateful: True

    FollowPath:
      plugin: "nav2_regulated_pure_pursuit_controller::RegulatedPurePursuitController"
      desired_linear_vel: 0.3
      max_linear_accel: 10.0
      max_linear_decel: 10.0
      lookahead_dist: 0.3
      min_lookahead_dist: 0.3
      max_lookahead_dist: 0.9
      lookahead_time: 1.5
      rotate_to_heading_angular_vel: 0.4
      transform_tolerance: 0.1
      use_velocity_scaled_lookahead_dist: false
      min_approach_linear_velocity: 0.05
      use_approach_linear_velocity_scaling: true
      max_allowed_time_to_collision: 1.0
      use_regulated_linear_velocity_scaling: true
      use_cost_regulated_linear_velocity_scaling: true
      cost_scaling_dist: 0.6
      cost_scaling_gain: 1.0
      inflation_cost_scaling_factor: 3.0
      regulated_linear_scaling_min_radius: 0.9
      regulated_linear_scaling_min_speed: 0.25
      use_rotate_to_heading: true
      rotate_to_heading_min_angle: 0.785
      max_angular_accel: 10.0
      goal_dist_tol: 0.08

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_combined
      robot_base_frame: base_footprint
      use_sim_time: False
      rolling_window: true
      width: 3
      height: 3
      resolution: 0.05
      robot_radius: 0.20
      plugins: ["obstacle_layer", "inflation_layer"]
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 3.0
        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"
          raytrace_max_range: 10.0
          raytrace_min_range: 0.0
          obstacle_max_range: 2.5
          obstacle_min_range: 0.0

      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_footprint
      use_sim_time: False
      robot_radius: 0.20
      resolution: 0.05
      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: 10.0
          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: "turtlebot3_world.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_combined
    robot_base_frame: base_footprint
    transform_timeout: 0.1
    use_sim_time: False
    simulate_ahead_time: 2.0
    max_rotational_vel: 0.3
    min_rotational_vel: 0.05
    rotational_acc_lim: 0.3

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

`

[padhupradheep]

Please read the documentation for RPP. https://navigation.ros.org/configuration/packages/configuring-regulated-pp.html

There is a parameter called allow_reversing that needs to be set to true, combined with the changes I told you above.

Note that this is a feature request or a bug tracker. I would suggest you to ask your configuration related questions in answers.ros.org I know that our contributors are pretty active over there.

[miku54]

nav2_navfn_planner

Thanks for your reply, I use NavFn Planner, doesn't this match the Ackerman model?

[padhupradheep]

Technically that does not make for RPP to be used in Ackermann model

[miku54]

• nav2_regulation_pure_pursuit_controlle

But I didn't use the "allow_reversing" parameter. According to your prompt, when adapting the nav2_regulation_pure_pursuit_controlle controller, it needs to be used with Smac Planner, right?

[padhupradheep]

According to your prompt, when adapting the nav2_regulation_pure_pursuit_controlle controller, it needs to be used with Smac Planner, right?

For Ackermann! yes!

[miku54]

According to your prompt, when adapting the nav2_regulation_pure_pursuit_controlle controller, it needs to be used with Smac Planner, right?

For Ackermann! yes!

@Aposhian thank you!

[padhupradheep]

I would suggest to close the issue! As far as I see the feature is working fine. if you have any configuration issue, post it on answers.ros.org !

[miku54]

我建议关闭这个问题！据我所知，该功能运行良好。如果您有任何配置问题，请将其发布在 answers.ros.org 上！

Can I close the question after my test is complete? thanks