[FishBot教程] 6. 雷达驱动及建图测试

1281857896

@小鱼不好意思，这个没考虑到

小鱼

@1281857896 这个参数是哪里来的

1281857896

@小鱼第17章建图与导航实践 fishbot导航实现 fishbot导航实现那块安装了nav2功能包，然后从功能包里复制出来的参数就这么多，我刚打开功能包确实是这些参数
复制的时候用的下面这个命令
cp /opt/ros/$ROS_DISTRO/share/nav2_bringup/params/nav2_params.yaml src/fishbot_navigation2/config

小鱼

@1281857896 你从快速上手教程里拷贝试试，或者直接用快速上手教程里的导航配置跑跑，看看能不能跑起来

小鱼

@小鱼有些参数不一样

小鱼

@小鱼

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"
    plugin_lib_names:
    - nav2_compute_path_to_pose_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_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

bt_navigator_rclcpp_node:
  ros__parameters:
    use_sim_time: False

controller_server:
  ros__parameters:
    use_sim_time: False
    controller_frequency: 10.0
    min_x_velocity_threshold: 0.001
    min_y_velocity_threshold: 0.5
    min_theta_velocity_threshold: 0.001
    controller_plugins: ["FollowPath"]

    # 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: 0.8
      min_speed_xy: 0.0
      max_speed_xy: 0.44
      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: 0.2
      decel_lim_x: -0.5
      decel_lim_y: 0.0
      decel_lim_theta: -0.5
      vx_samples: 20
      vy_samples: 0
      vtheta_samples: 40
      sim_time: 1.5
      linear_granularity: 0.05
      angular_granularity: 0.025
      transform_tolerance: 0.2
      xy_goal_tolerance: 0.05
      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: 0.1
      plugins: ["obstacle_layer", "voxel_layer", "inflation_layer"]
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        inflation_radius: 0.2
        cost_scaling_factor: 3.0
      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: pointcloud
        pointcloud:
          topic: /intel_realsense_r200_depth/points
          max_obstacle_height: 2.0
          clearing: True
          marking: True
          data_type: "PointCloud2"
      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
      robot_radius: 0.1
      resolution: 0.05
      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"
      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: pointcloud
        pointcloud:
          topic: /intel_realsense_r200_depth/points
          max_obstacle_height: 2.0
          clearing: True
          marking: True
          data_type: "PointCloud2"
      static_layer:
        plugin: "nav2_costmap_2d::StaticLayer"
        map_subscribe_transient_local: True
      inflation_layer:
        plugin: "nav2_costmap_2d::InflationLayer"
        cost_scaling_factor: 1.0
        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: 5000
    free_thresh_default: 0.25
    occupied_thresh_default: 0.65

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: 1.0
    min_rotational_vel: 0.4
    rotational_acc_lim: 3.2

robot_state_publisher:
  ros__parameters:
    use_sim_time: False

1281857896

@小鱼鱼哥，用最新的底板固件加上快速上手里面的fishbot.yaml可以很好实现导航，用那个fishbot_nav2.yaml就会加载不出地图，跑不了，应该是有缺东西

775405893

第三步，话题里面有scan，但出现警告是怎么回事
屏幕截图 2024-09-10 120417.png

小鱼

@1281857896 对比下文件区别，可能哪里不对劲的

小鱼

@775405893 https://fishros.org.cn/forum/topic/151/提问前必看-不符合要求的问题拒绝回答

运行雷达的日志和上下文提供下

775405893

@小鱼屏幕截图 2024-09-10 120943.png

小鱼

@775405893 系统信息提供下：https://fishros.org.cn/forum/topic/151/提问前必看-不符合要求的问题拒绝回答

小鱼

@775405893 雷达驱动意外挂了，重新运行下试试

775405893

@小鱼 ubuntu 24 ，ros2是jazzy版，虚拟机桥接，雷达连的电脑热点。重启了一下还是这个问题，雷达地址能ping通。

小鱼

@775405893 估计是版本问题，docker里面是22.04的，最好主机也用22.04，教程也是22.04的，还会有坑等着你。你那里有书吗，书上有源码驱动雷达的方法，只能用这个了，或者你需要等一段时间（半个月左右），我抽空时间来适配下24.04系统。

775405893

@小鱼好的谢谢，有书，我现在去翻一下

小鱼

@775405893 第九章，你找找

466413819

在ARM64架构下，ubuntu humble虚拟机
zhao@zhao-virtual-machine:~$ xhost + && sudo docker run -it --rm -v /dev:/dev -v /dev/shm:/dev/shm --privileged -v /tmp/.X11-unix:/tmp/.X11-unix --device /dev/snd -e DISPLAY=unix$DISPLAY -p 8889:8888 fishros2/fishbot_laser
access control disabled, clients can connect from any host
WARNING: The requested image's platform (linux/amd64) does not match the detected host platform (linux/arm64/v8) and no specific platform was requested
exec /bin/bash: exec format error
请问小鱼有没有解决办法，有没有类似 miroros agent 的离线解决方案？

小鱼

@466413819 arm架构下不支持这个镜像，需要按照

拓展1：FishBot配套雷达驱动教程（源码版）
拓展2：树莓派上使用micros-agent驱动主控板的方法
拓展3：FishBot 树莓派配置建图导航

1664486711

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