datetime:2023/10/12 11:03
author:nzb
该项目来源于大佬的动手学ROS2
2.为FishBot配置Nav2
安装好了Nav2,我们开始针对我们的fishbot改变一些参数进行导航相关的参数配置。Nav2可配置的参数比起Cartographer更多,但是不要害怕,因为大多数参数我们可能不会改变。
有关Nav2的更多参数介绍和详细的配置意义,可以参考Nav2中文网配置指南一节。
本节主要准备两个文件给launch节点使用,第一个是地图文件,第二个是nav2参数文件。
1.创建fishbot_navigation2
1.1创建功能包
和前面在Cartographer中一样,我们需要创建一个文件夹放置配置文件、launch文件、rviz配置和地图等。
进入到src目录下,使用下面指令创建功能包:
ros2 pkg create fishbot_navigation2 --dependencies nav2_bringup
这里我们添加了一个依赖nav2_bringup
,后面写launch文件要用到,这里提前添加一下依赖。
创建完成后的目录结构:
.
├── CMakeLists.txt
├── include
│ └── fishbot_navigation2
├── package.xml
└── src
3 directories, 2 files
1.2 添加maps文件夹
cd src/fishbot_navigation2
mkdir launch config maps param rviz
1.3 复制地图文件
将上一节的地图文件复制到map文件夹下。
复制完成后fishbot_navigation2
的文件结构如下
.
├── CMakeLists.txt
├── config
├── launch
├── maps
│ ├── fishbot_map.png
│ ├── fishbot_map.pgm
│ ├── fishbot_map.yaml
├── package.xml
├── param
└── rviz
5 directories, 5 files
2.添加Nav2配置文件
2.1 创建参数文件
我们需要配置的文件是Nav2的参数文件,同样的,贴心的Nav2已经为我们准备好了参数模板
src/navigation2/nav2_bringup/bringup/params/nav2_params.yaml
在src/fishbot_navigation2/param/
目录下创建fishbot_nav2.yaml
cd src/fishbot_navigation2/param/
touch fishbot_nav2.yaml
2.2 复制参数
然后将src/navigation2/nav2_bringup/bringup/params/nav2_params.yaml
的内容复制粘贴到fishbot_nav2.yaml
文件中。
参数文件中的参数是谁的?
在之前的章节保存参数中,我们曾用
ros2 param dump <node_name>
指令将某个节点的参数保存为一个.yaml
格式的文件。fishbot_nav2.yaml
文件就是保存Nav2相关节点参数的文件。
3. 配置参数
其实参数不配置也是可以将Nav2跑起来的,但是后期想要更改运行的效果就需要对参数进行修改,所以有必要大概了解下参数的配置项和含义查询方法和修改方法。
3.1 参数列表
编号 | 配置项 | 用途 | 对应模块与参数详解 |
---|---|---|---|
1 | amcl | 机器人定位 | nav2_amcl |
2 | bt_navigator | 导航行为树(用于加载行为树节点并根据xml配置进行调度) | nav2_bt_navigator , nav2_behavior_tree |
3 | controller_server | 控制器服务器 | nav2_controller , nav2_dwb_controller, nav2_regulated_pure_pursuit_controller |
4 | planner_server | 规划服务器 | nav2_planner , nav2_navfn_planner, smac_planner |
5 | recoveries_server | 恢复服务器 | nav2_recoveries |
6 | local_costmap | 局部代价地图 | nav2_costmap_2d , static_layer, inflation_layer |
7 | global_costmap | 全局代价地图 | nav2_costmap_2d , nav2_map_server |
有关更多的Nav2所有参数的详细介绍,可以访问Nav2中文网中的配置指南章节,非常的详细,无比的具体。
3.2 配置机器人半径和碰撞半径
在全局代价地图和局部代价地图配置用,默认的机器人半径是0.22,而我们fishbot的半径是0.12,所以需要修改机器人的半径为0.12。
local_costmap:
local_costmap:
ros__parameters:
robot_radius: 0.12
global_costmap:
global_costmap:
ros__parameters:
robot_radius: 0.12
为了防止机器人发生碰撞,一般我们会给代价地图添加一个碰撞层(inflation_layer),在local_costmap
和global_costmap
配置中,你可以看到下面关于代价地图相关的配置:
global_costmap:
global_costmap:
ros__parameters:
plugins: [ "static_layer", "obstacle_layer", "inflation_layer" ]
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.55
打开参数配置中的inflation_layer ,我们来看看其配置项和含义。
可以看到inflation_radius
默认0.55对fishbot来说可能有些大了,我们改小些。
global_costmap:
global_costmap:
ros__parameters:
plugins: ["static_layer", "obstacle_layer", "inflation_layer"]
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.35
以上就是以代价地图碰撞半径为例的配置方法,nav2可以配置的参数非常多,假如你在导航过程中遇到问题,根据问题的表现推断下是哪个模块中造成的,接着修改其对应参数,大概率就可以解决问题,解决不了的可以看源码详细分析。
3.3 配置frame_id和话题
这里也不用配置,因为我们的fishbot话题名称和tf名称都是遵循着默认的话题的。
如果你的机器人不是,或者你改变了话题,这里就需要重新配置。
- 默认全局的坐标系:map
- 默认里程计坐标系:odom
- 默认雷达话题:scan
- 默认机器人基坐标系:base_link
- 默认地图话题:map
4. 总结
本节我们简单的了解了Nav2各个模块参数的配置方法和参数的介绍,下一节就开始编写文件正式建图。
完整的配置文件如下
amcl:
ros__parameters:
use_sim_time: True
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: 10.0
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: True
amcl_rclcpp_node:
ros__parameters:
use_sim_time: True
bt_navigator:
ros__parameters:
use_sim_time: True
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: True
controller_server:
ros__parameters:
use_sim_time: True
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: True
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: True
rolling_window: true
width: 3
height: 3
resolution: 0.05
robot_radius: 0.22
plugins: ["voxel_layer", "inflation_layer"]
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.55
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: True
local_costmap_rclcpp_node:
ros__parameters:
use_sim_time: True
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", "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: True
global_costmap_rclcpp_node:
ros__parameters:
use_sim_time: True
map_server:
ros__parameters:
use_sim_time: True
yaml_filename: "turtlebot3_world.yaml"
map_saver:
ros__parameters:
use_sim_time: True
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: True
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: True
smoother_server:
ros__parameters:
use_sim_time: True
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: 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: True
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