【ROS】Turtlebot3局部避障TEB算法配置_move_base中使用teb算法

前言

最近刚写完开题报告，然后在研究局部导航避障算法DWA和TEB这两种算法的原理和区别。DWA ROS中自带，而TEB算法需要自行安装下载和配置，以下是我配置的步骤。

1.下载源码

github源码地址
注意自己的版本

2.放在ROS工作空间编译

编译过程中会提示缺少依赖，缺少什么按照提示安装什么就好！
编译完成在终端输入

rospack plugins --attrib=plugin nav_core
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如果显示有teb_local_planner，则安装成功。

3.将turtlebot3局部避障算法dwa替换成teb

roscd turtlebot3_navigation/
ls
see launch
在 launch 目录下打开终端输入
sudo gedit move_base.launch 
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<launch>
  <!-- Arguments -->
  <arg name="model" default="$(env TURTLEBOT3_MODEL)" doc="model type [burger, waffle, waffle_pi]"/>
  <arg name="cmd_vel_topic" default="/cmd_vel" />
  <arg name="odom_topic" default="odom" />
  <arg name="move_forward_only" default="false"/>

  <!-- move_base -->
  <node pkg="move_base" type="move_base" respawn="false" name="move_base" output="screen">
    <param name="base_local_planner" value="teb_local_planner/TebLocalPlannerROS" />
    <rosparam file="$(find turtlebot3_navigation)/param/costmap_common_params_$(arg model).yaml" command="load" ns="global_costmap" />
    <rosparam file="$(find turtlebot3_navigation)/param/costmap_common_params_$(arg model).yaml" command="load" ns="local_costmap" />
    <rosparam file="$(find turtlebot3_navigation)/param/local_costmap_params.yaml" command="load" />
    <rosparam file="$(find turtlebot3_navigation)/param/global_costmap_params.yaml" command="load" />
    <rosparam file="$(find turtlebot3_navigation)/param/move_base_params.yaml" command="load" />
    <rosparam file="$(find turtlebot3_navigation)/param/teb_local_planner_params.yaml" command="load" />
    <remap from="cmd_vel" to="$(arg cmd_vel_topic)"/>
    <remap from="odom" to="$(arg odom_topic)"/>
    <param name="DWAPlannerROS/min_vel_x" value="0.0" if="$(arg move_forward_only)" />
  </node>
</launch>
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4.增加配置文件

在turtlebot3_navigation/param目录下新建一个

sudo touch teb_local_planner_params.yaml
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TebLocalPlannerROS:
  odom_topic: odom
  map_frame: map

  # Trajectory
  teb_autosize: True
  dt_ref: 0.5
  dt_hysteresis: 0.05
  min_samples: 3
  global_plan_overwrite_orientation: True
  global_plan_viapoint_sep: 0.1 # negative, do not use viapoints. positive, use them. the actual value does not matter
  max_global_plan_lookahead_dist: 1.5
  global_plan_prune_distance: 0.6
  force_reinit_new_goal_dist: 1.0
  feasibility_check_no_poses: 3
  publish_feedback: false
  allow_init_with_backwards_motion: true
  exact_arc_length: false
  shrink_horizon_backup: true
  shrink_horizon_min_duration: 10

  # Robot
  max_vel_x: 0.22
  max_vel_x_backwards: 0.5
  max_vel_theta: 2.75
  max_vel_y: 0.0
  acc_lim_y: 0.0
  acc_lim_x: 2.5
  acc_lim_theta: 3.2
  min_turning_radius: 0.0
  wheelbase: 0.0 # not used, is differential
  cmd_angle_instead_rotvel: false # not used, is differential
  footprint_model: # types: "point", "circular", "two_circles", "line", "polygon"
#    type: "circular"
#    radius: 0.5 # for type "circular"
#    type: "line"
#    line_start: [-0.0545, 0.0] # for type "line"
#    line_end: [0.0545, 0.0] # for type "line"
# front_offset: 0.2 # for type "two_circles"
# front_radius: 0.2 # for type "two_circles"
# rear_offset: 0.2 # for type "two_circles"
# rear_radius: 0.2 # for type "two_circles"
    type: "polygon"
    vertices: [[-0.105, -0.105], [-0.105, 0.105], [0.041, 0.105], [0.041, -0.105]] # for type "polygon"

  # GoalTolerance
  xy_goal_tolerance: 0.05
  yaw_goal_tolerance: 0.17
  free_goal_vel: False

  # Obstacles
  min_obstacle_dist: 0.1 # minimum distance to obstacle: it depends on the footprint_model
  inflation_dist: 0.0 # greater than min_obstacle_dist to take effect
  include_costmap_obstacles: True # use the local costmap
  costmap_obstacles_behind_robot_dist: 1.0 # distance at which obstacles behind the robot are taken into account
  legacy_obstacle_association: false
  obstacle_poses_affected: 30 # unused if legacy_obstacle_association is false
  obstacle_association_force_inclusion_factor: 10.0 # the obstacles that will be taken into account are those closer than min_obstacle_dist*factor, if legacy is false
  obstacle_association_cutoff_factor: 40.0 # the obstacles that are further than min_obstacle_dist * factor will not be taken into account, if legacy is false
#  costmap_converter_plugin: "costmap_converter::CostmapToPolygonsDBSMCCH"
  #costmap_converter_plugin: "costmap_converter::CostmapToLinesDBSRANSAC"
  #costmap_converter_plugin: "costmap_converter::CostmapToLinesDBSMCCH"
#  costmap_converter_plugin: "costmap_converter::CostmapToPolygonsDBSConcaveHull"
  costmap_converter_plugin: "" # deactivate plugin
  costmap_converter_spin_thread: True
  costmap_converter_rate: 10

  # Optimization
  no_inner_iterations: 5
  no_outer_iterations: 4
  optimization_activate: True # optimize
  optimization_verbose: False
  penalty_epsilon: 0.1
  weight_max_vel_x: 2
  weight_max_vel_y: 1
  weight_max_vel_theta: 1
  weight_acc_lim_x: 1
  weight_acc_lim_y: 1
  weight_acc_lim_theta: 1
  weight_kinematics_nh: 1 # is a holonomic robot
  weight_kinematics_forward_drive: 10 # prefer forward driving, for differential
  weight_kinematics_turning_radius: 0 # prefer turns that respect the min_turning_radius, not used if differential (min_turning_radius = 0)
  weight_optimaltime: 1.0 # prefer trajectories with less transition time
  weight_obstacle: 50.0 # prefer trajectories that respect the min_obstacle_dist
  weight_inflation: 0.1 # prefer trajectories that respect the inflation of the obstacles
  #weight_dynamic_obstacle: 10 # not in use yet
  weight_viapoint: 1.0 # prefer trajectories that respect the viapoints in the global path
  weight_adapt_factor: 2 # factor to multiply some weights (currently only weight_obstacle) at each iteration (gives better results than a huge value for the weight)

  # Homotopy Class Planner
  enable_homotopy_class_planning: True # currently not used
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5.测试

上面的步骤应该是没有问题的，因为我都测试完了，下面是我写的launch测试
打开仿真环境

roslaunch test_planner  test_planner.launch 
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效果
只是配置完成了，由于配置文件中有大量参数，目前对参数还有没深入了解，刚开始的参数是直接拷贝一片CSDN的，然后上来进行导航没有任何反应，不动，误以为配置不对，后来发现是参数跟Turtlebot3不匹配，按照现有的理解，改了改参数，可以动了，一边调试一边体会吧。
参数调试可以参考
浅谈Time Elastic Band -深蓝学院
ROS - teb_local_planner 参数总结-Dr. Qing