机器人导航Navigation2(实体篇)
准备工作
- 实物
- 已经跑过一遍机器人导航Navigation2(仿真篇)
- 本章只讲大体思路实现,一般只要你仿真篇搞明白了,实体篇看看大体思路就懂怎么实现了。
- 本章非赵虚左教程,是自己的实现思路,仅供参考,可能赵老师有更好的办法,不过他还没出实体篇教程。
- 本章用的是4轮麦克纳姆轮实现的,仅供参考。
以下代码都在下方这个github仓库里:
https://github.com/CyberNaviRobot/CyberRobot\_ROS2\_WS
下方的教程只有实现思路,不会放源码,所以建议克隆一下这个仓库,看看源码。
导航参数参考
https://docs.nav2.org/configuration/index.html
SLAM 定位与建图
slam_toolbox
根据上方的节点说明,我们要订阅/scan和/tf。
一般激光雷达的说明书都会提供源码去发布/scan,所以这个请看你硬件的说明书。
/tf则需要我们发布odom_frame到base_frame的转换,我们必须使用C++代码去动态发布odom的坐标变换。
但是这里你需要发布/odom,以便于知道机器人的位置和姿态,这样才能够够推算出机器人在map中的位置。

确保slam toolbox各项参数没有设置错,特别是坐标系等等,其他参数可以看着说明微调。

确保激光雷达发布的话题是/scan。

先启动激光雷达

再启动urdf模型,同时发布tf。

最后开启slam
ros2 launch mycar_slam_slam_toolbox online_sync_launch.py use_sim_time:=false



cartographer
根据cartographer说明,我们需要/scan和/odom即可。
先打开串口接收节点,接收stm32传过来的数据。

然后再打开里程计节点,发布odom话题


再发布一下TF,可以直接用launch开启robot_state_publisher和joint_state_publisher,并打开urdf模型来发布TF。

打开激光雷达的节点,发布scan话题

等/odom,/scan和TF全发了之后,再打开cartographer建图,然后可以检查map的TF是否发布。

检查TF树如下:

建图如下


地图服务
保存地图(序列化)
mkdir ./map
ros2 run nav2_map_server map_saver_cli -f map/my_map


读取地图(反序列化)

ros2 launch mycar_map_server map_server.launch.py
AMCL自适应蒙特卡洛定位
首先需要地图的数据,发布/map话题。
其次需要激光雷达数据,即/scan话题。
然后需要坐标变换消息,即/tf话题。
然后那个/initial_pose话题,是2D地图上的初始位置,可以用rviz2发布,也可以用C++代码发布。

然后需要修改一下参数:
这个是参数的官方网站:
https://docs.nav2.org/configuration/packages/configuring-amcl.html#

修改完Launch后,再修改params参数。

这里的OmniChassis不止指全向轮底盘,而是广义的全向轮底盘,像全向轮底盘,麦轮底盘都是全向轮底盘。当然也可以自定义底盘类型。
这个配置文件最顶上的那个use_sim_time设置为False。





导航服务器
涉及的话题太多了,所以我们列出来了一个表:
- 订阅的话题
| 话题 | 接口 | 描述 |
|---|---|---|
| /goal_pose | geometry_msgs/msg/PoseStamped | 导航目标点,用于触发导航任务 |
| /tf | tf2_msgs/msg/TFMessage | 坐标变换消息,用于不同坐标系之间的转换 |
| /odom | nav_msgs/msg/Odometry | 里程计数据,提供机器人位置和运动信息 |
| 话题 | 接口 | 描述 |
| /global_costmap/footprint | geometry_msgs/msg/Polygon | 机器人(或任何移动平台)的足迹(footprint)信息。足迹是机器人在地图上占据的空间形状,通常用多边形表示。 |
| /map | nav_msgs/msg/OccupancyGrid | 发布环境地图,特别是用于导航的占用网格图(Occupancy Grid Map)。 |
| /scan | sensor_msgs/msg/LaserScan | 激光扫描数据。 |
| 话题 | 接口 | 描述 |
| /odom | nav_msgs/msg/Odometry | 机器人的里程计信息,包含位置、速度和姿态 |
| /speed_limit | nav2_msgs/msg/SpeedLimit | 导航过程中的速度限制信息,用于动态调整机器人的移动速度 |
| 话题 | 接口 | 描述 |
| /local_costmap/footprint | geometry_msgs/msg/Polygon | 机器人或移动平台的足迹多边形,用于本地代价地图的计算 |
| /scan | sensor_msgs/msg/LaserScan | 激光扫描仪的扫描数据,用于环境感知和避障 |
| 话题 | 接口 | 描述 |
| /clock | rosgraph_msgs/msg/Clock | ROS系统时间 |
| /cmd_vel_teleop | geometry_msgs/msg/Twist | 遥操作命令,用于控制机器人的线性和角速度 |
| /local_costmap/costmap_raw | nav2_msgs/msg/Costmap | 局部代价地图的原始数据 |
| /local_costmap/published_footprint | geometry_msgs/msg/PolygonStamped | 机器人在局部代价地图中的已发布足迹 |
| /preempt_teleop | std_msgs/msg/Empty | 遥操作抢占信号,用于中断当前遥操作 |
| 话题 | 接口 | 描述 |
| /global_costmap/costmap_raw | nav2_msgs/msg/Costmap | 全局代价地图的原始数据,用于路径规划 |
| /global_costmap/published_footprint | geometry_msgs/msg/PolygonStamped | 机器人在全局代价地图中的足迹表示 |
| 话题 | 接口 | 描述 |
| /cmd_vel_nav | geometry_msgs/msg/Twist | 接收来自其他节点的速度控制指令的话题 |
- 发布的话题
| 话题 | 接口 | 描述 |
|---|---|---|
| /plan | nav_msgs/msg/Path | 当前位置到目标点的全局路径 |
| 话题 | 接口 | 描述 |
| /global_costmap/costmap | nav_msgs/msg/OccupancyGrid | 发布全局代价地图的当前状态。 |
| /global_costmap/costmap_raw | nav2_msgs/msg/Costmap | 未经进一步处理的原始代价地图数据。 |
| /global_costmap/costmap_updates | map_msgs/msg/OccupancyGridUpdate | 全局代价地图的更新,该消息可以高效更新地图。 |
| /global_costmap/published_footprint | geometry_msgs/msg/PolygonStamped | 发布机器人的足迹(footprint),即机器人在地图上占据的空间形状。 |
| 话题名称 | 消息类型 | 描述 |
| /cmd_vel_nav | geometry_msgs/msg/Twist | 发布控制命令,包括线性和角速度,用于控制机器人按照规划路径移动。 |
| /cost_cloud | sensor_msgs/msg/PointCloud2 | 发布成本地图中的点云数据,用于避障和路径规划。 |
| /local_plan | nav_msgs/msg/Path | 发布局部路径规划结果,即机器人应如何到达当前目标点附近的一个点。 |
| /marker | visualization_msgs/msg/MarkerArray | 发布可视化标记,用于在RViz等可视化工具中显示路径、障碍物等信息。 |
| /received_global_plan | nav_msgs/msg/Path | 发布从全局规划器接收到的全局路径,即当前位置到目标点的路径。 |
| /transformed_global_plan | nav_msgs/msg/Path | 发布经过坐标变换的全局路径,确保路径与机器人的当前坐标系一致。 |
| 话题 | 接口 | 描述 |
| /local_costmap/clearing_endpoints | sensor_msgs/msg/PointCloud2 | 清除成本图上的障碍物点云数据,通常用于动态障碍物处理 |
| /local_costmap/costmap | nav_msgs/msg/OccupancyGrid | 本地成本图,表示机器人周围环境的可通行性 |
| /local_costmap/costmap_raw | nav2_msgs/msg/Costmap | 未经处理的本地成本图,可能包含更详细的信息 |
| /local_costmap/costmap_updates | map_msgs/msg/OccupancyGridUpdate | 本地成本图的更新信息,包括哪些区域发生了变化 |
| /local_costmap/published_footprint | geometry_msgs/msg/PolygonStamped | 发布的机器人足迹多边形,时间戳表示发布时间 |
| /local_costmap/voxel_grid | nav2_msgs/msg/VoxelGrid | 体素网格数据,用于成本图生成中的空间划分和优化 |
| 话题 | 接口 | 描述 |
| /cmd_vel | geometry_msgs/msg/Twist | 发送给底层控制器的速度命令 |
| 话题 | 接口 | 描述 |
| /plan_smoothed | nav_msgs/msg/Path | 经过平滑处理后的全局路径 |
| 话题 | 接口 | 描述 |
| /cmd_vel | geometry_msgs/msg/Twist | 发布经过处理或平滑后的速度控制指令的话题 |
由于赵虚左是把官方的源码重新写在了WS里,这样对于初学者来说会比较麻烦,对于初学者来说建议使用官方写好的bringup节点,以下是我根据官方Wiki总结出来的使用方法:(这里选择使用官方的bringup节点,而不是赵虚左老师的节点。)
以下是配置的nav2.launch.py文件:
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
def generate_launch_description():
navigation2_dir = get_package_share_directory('nav05_navigation2')
nav2_bringup_dir = get_package_share_directory('nav2_bringup')
# launch的参数的优先级比yaml的参数优先级高
use_sim_time = LaunchConfiguration('use_sim_time', default='flase')
map_yaml_path = LaunchConfiguration('map',default=os.path.join(navigation2_dir,'map','house.yaml'))
nav2_param_path = LaunchConfiguration('params_file',default=os.path.join(navigation2_dir,'params','nav2.yaml'))
return LaunchDescription([
DeclareLaunchArgument('use_sim_time',default_value=use_sim_time,description='Use simulation (Gazebo) clock if true'),
DeclareLaunchArgument('map',default_value=map_yaml_path,description='Full path to map file to load'),
DeclareLaunchArgument('params_file',default_value=nav2_param_path,description='Full path to param file to load'),
IncludeLaunchDescription(
PythonLaunchDescriptionSource([nav2_bringup_dir,'/launch','/bringup_launch.py']),
launch_arguments={
'map': map_yaml_path,
'use_sim_time': use_sim_time,
'params_file': nav2_param_path}.items(),
),
])
以下是rviz2.launch.py:
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
def generate_launch_description():
navigation2_dir = get_package_share_directory('nav05_navigation2')
use_sim_time = LaunchConfiguration('use_sim_time', default='false')
rviz_config_dir = os.path.join(navigation2_dir,'rviz','nav2.rviz')
return LaunchDescription([
DeclareLaunchArgument('use_sim_time',default_value=use_sim_time,description='Use simulation (Gazebo) clock if true'),
Node(
package='rviz2',
executable='rviz2',
name='rviz2',
arguments=['-d', rviz_config_dir],
parameters=[{'use_sim_time': use_sim_time}],
output='screen'),
])
以下是nav2.yaml配置文件(差速模型+DWE局部规划器):
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_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: 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: "nav2_amcl::DifferentialMotionModel"
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
scan_topic: scan
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
bt_loop_duration: 10
default_server_timeout: 20
# '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.
plugin_lib_names:
- nav2_compute_path_to_pose_action_bt_node
- nav2_compute_path_through_poses_action_bt_node
- nav2_smooth_path_action_bt_node
- nav2_follow_path_action_bt_node
- nav2_spin_action_bt_node
- nav2_wait_action_bt_node
- nav2_back_up_action_bt_node
- nav2_drive_on_heading_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_globally_updated_goal_condition_bt_node
- nav2_is_path_valid_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_truncate_path_local_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_path_expiring_timer_condition
- 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
- nav2_controller_cancel_bt_node
- nav2_path_longer_on_approach_bt_node
- nav2_wait_cancel_bt_node
- nav2_spin_cancel_bt_node
- nav2_back_up_cancel_bt_node
- nav2_drive_on_heading_cancel_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"] # "precise_goal_checker"
controller_plugins: ["FollowPath"]
# 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: 0.25
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: 0.26
max_vel_y: 0.0
max_vel_theta: 1.0
min_speed_xy: 0.0
max_speed_xy: 0.26
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: ["static_layer", "obstacle_layer", "voxel_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: 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
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: 0.22
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
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: "house.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
smoother_server:
ros__parameters:
use_sim_time: false
smoother_plugins: ["simple_smoother"]
simple_smoother:
plugin: "nav2_smoother::SimpleSmoother"
tolerance: 1.0e-10
max_its: 1000
do_refinement: True
behavior_server:
ros__parameters:
costmap_topic: local_costmap/costmap_raw
footprint_topic: local_costmap/published_footprint
cycle_frequency: 10.0
behavior_plugins: ["spin", "backup", "drive_on_heading", "wait"]
spin:
plugin: "nav2_behaviors/Spin"
backup:
plugin: "nav2_behaviors/BackUp"
drive_on_heading:
plugin: "nav2_behaviors/DriveOnHeading"
wait:
plugin: "nav2_behaviors/Wait"
global_frame: odom
robot_base_frame: base_link
transform_tolerance: 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
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
velocity_smoother:
ros__parameters:
use_sim_time: false
smoothing_frequency: 20.0
scale_velocities: False
feedback: "OPEN_LOOP"
max_velocity: [0.26, 0.0, 1.0]
min_velocity: [-0.26, 0.0, -1.0]
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