movebase导航

利用turtlebot 的导航配置文件

由于movbase发的速度太不友好了所以使用了ros自带的滤波安装相应的包

apt-get install ros-indigo-yocs-velocity-smoother

我的配置文件 standalone.yaml

# Example configuration:
# - velocity limits are around a 10% above the physical limits
# - acceleration limits are just low enough to avoid jerking # Mandatory parameters
speed_lim_v: 0.8
speed_lim_w: 5.4 accel_lim_v: 0.3
accel_lim_w: 3.5 # Optional parameters
frequency: 20.0
decel_factor: 1.0 # Robot velocity feedback type:
# 0 - none
# 1 - odometry
# 2 - end robot commands
robot_feedback: 2

我机器人的启动文件

<launch>

    <param name="use_sim_time" value="false" />

    <node name="link_laser" pkg="tf" type="static_transform_publisher" args="0.15 0 0.15 0 0 0 base_link laser 50"/>
<node name="link_footprint" pkg="tf" type="static_transform_publisher" args="0 0 0 0 0 0 base_link base_footprint 50"/> <node pkg="odom_tf_package" type="base_controller" name="serial_send_recevice" output="screen"/> <include file="$(find odom_tf_package)/launch/include/rplidar.launch" /> <arg name="node_name" value="velocity_smoother"/>
<arg name="nodelet_manager_name" value="nodelet_manager"/>
<arg name="config_file" value="$(find odom_tf_package)/config/standalone.yaml"/>
<arg name="raw_cmd_vel_topic" value="cmd_vel"/>
<arg name="smooth_cmd_vel_topic" value="smoother_cmd_vel"/>
<arg name="robot_cmd_vel_topic" value="robot_cmd_vel"/>
<arg name="odom_topic" value="odom"/> <!-- nodelet manager -->
<node pkg="nodelet" type="nodelet" name="$(arg nodelet_manager_name)" args="manager"/> <!-- velocity smoother -->
<include file="$(find yocs_velocity_smoother)/launch/velocity_smoother.launch">
<arg name="node_name" value="$(arg node_name)"/>
<arg name="nodelet_manager_name" value="$(arg nodelet_manager_name)"/>
<arg name="config_file" value="$(arg config_file)"/>
<arg name="raw_cmd_vel_topic" value="$(arg raw_cmd_vel_topic)"/>
<arg name="smooth_cmd_vel_topic" value="$(arg smooth_cmd_vel_topic)"/>
<arg name="robot_cmd_vel_topic" value="$(arg robot_cmd_vel_topic)"/>
<arg name="odom_topic" value="$(arg odom_topic)"/>
</include> </launch>

建图的启动文件:gmapping.launch

<launch>

  <arg name="scan_topic" default="scan" />  //laser的topic名称,与自己的激光的topic相对应
<param name="odom_frame" value="odom"/> //世界坐标
<node pkg="gmapping" type="slam_gmapping" name="slam_gmapping" output="screen" clear_params="true"> //启动slam的节点 <param name="map_update_interval" value="2.0"/>
<!-- Set maxUrange < actual maximum range of the Laser -->
<param name="maxRange" value="5.0"/>
<param name="maxUrange" value="4.5"/>
<param name="sigma" value="0.05"/>
<param name="kernelSize" value=""/>
<param name="lstep" value="0.05"/> //optimize机器人移动的初始值(距离)
<param name="astep" value="0.05"/> //optimize机器人移动的初始值(角度)
<param name="iterations" value=""/> //icp的迭代次数
<param name="lsigma" value="0.075"/>
<param name="ogain" value="3.0"/>
<param name="lskip" value=""/> //为0,表示所有的激光都处理,尽可能为零,如果计算压力过大,可以改成1 <param name="srr" value="0.01"/> //以下四个参数是运动模型的噪声参数
<param name="srt" value="0.02"/>
<param name="str" value="0.01"/>
<param name="stt" value="0.02"/>
<param name="linearUpdate" value="0.5"/> //机器人移动linearUpdate距离,进行scanmatch
<param name="angularUpdate" value="0.5"/> //机器人选装angularUpdate角度,进行scanmatch
<param name="temporalUpdate" value="-1.0"/>
<param name="resampleThreshold" value="0.5"/>
<param name="particles" value=""/> //很重要,粒子个数 <!--
<param name="xmin" value="-50.0"/>
<param name="ymin" value="-50.0"/>
<param name="xmax" value="50.0"/>
<param name="ymax" value="50.0"/>
make the starting size small for the benefit of the Android client's memory...
-->
<param name="xmin" value="-1.0"/> //map初始化的大小
<param name="ymin" value="-1.0"/>
<param name="xmax" value="1.0"/>
<param name="ymax" value="1.0"/> <param name="delta" value="0.05"/>
<param name="llsamplerange" value="0.01"/>
<param name="llsamplestep" value="0.01"/>
<param name="lasamplerange" value="0.005"/>
<param name="lasamplestep" value="0.005"/>
<remap from="scan" to="$(arg scan_topic)"/>
</node>
</launch>

导航启动文件:tb_demo_amcl.launch

<launch>

  <param name="use_sim_time" value="false" />
 
  <!-- EDIT THIS LINE TO REFLECT THE NAME OF YOUR OWN MAP FILE
       Can also be overridden on the command line -->
  <arg name="map" default="map.yaml" />   <!-- Run the map server with the desired map -->
  <node name="map_server" pkg="map_server" type="map_server" args="$(find navigation_tutorials)/maps/$(arg map)"/>   <!-- Start move_base  -->
  <include file="$(find navigation_tutorials)/launch/tb_move_base.launch" />   <!-- Fire up AMCL -->
  <include file="$(find navigation_tutorials)/launch/tb_amcl.launch" />
 
</launch>

tb_move_base.launch

<launch>

  <node pkg="move_base" type="move_base" respawn="false" name="move_base" output="screen" clear_params="true">
<rosparam file="$(find rbx1_nav)/config/turtlebot/costmap_common_params.yaml" command="load" ns="global_costmap" />
<rosparam file="$(find rbx1_nav)/config/turtlebot/costmap_common_params.yaml" command="load" ns="local_costmap" />
<rosparam file="$(find rbx1_nav)/config/turtlebot/local_costmap_params.yaml" command="load" />
<rosparam file="$(find rbx1_nav)/config/turtlebot/global_costmap_params.yaml" command="load" />
<rosparam file="$(find rbx1_nav)/config/turtlebot/base_local_planner_params.yaml" command="load" />
</node> </launch>

tb_amcl.launch

<launch>

  <arg name="use_map_topic" default="false"/>
<arg name="scan_topic" default="scan"/> <node pkg="amcl" type="amcl" name="amcl" clear_params="true">
<param name="use_map_topic" value="$(arg use_map_topic)"/>
<!-- Publish scans from best pose at a max of 10 Hz -->
<param name="odom_model_type" value="diff"/>
<param name="odom_alpha5" value="0.1"/>
<param name="gui_publish_rate" value="10.0"/>
<param name="laser_max_beams" value="60"/>
<param name="laser_max_range" value="12.0"/>
<param name="min_particles" value="500"/>
<param name="max_particles" value="2000"/>
<param name="kld_err" value="0.05"/>
<param name="kld_z" value="0.99"/>
<param name="odom_alpha1" value="0.2"/>
<param name="odom_alpha2" value="0.2"/>
<!-- translation std dev, m -->
<param name="odom_alpha3" value="0.2"/>
<param name="odom_alpha4" value="0.2"/>
<param name="laser_z_hit" value="0.5"/>
<param name="laser_z_short" value="0.05"/>
<param name="laser_z_max" value="0.05"/>
<param name="laser_z_rand" value="0.5"/>
<param name="laser_sigma_hit" value="0.2"/>
<param name="laser_lambda_short" value="0.1"/>
<param name="laser_model_type" value="likelihood_field"/>
<!-- <param name="laser_model_type" value="beam"/> -->
<param name="laser_likelihood_max_dist" value="2.0"/>
<param name="update_min_d" value="0.25"/>
<param name="update_min_a" value="0.2"/>
<param name="odom_frame_id" value="odom"/>
<param name="resample_interval" value="1"/>
<!-- Increase tolerance because the computer can get quite busy -->
<param name="transform_tolerance" value="1.0"/>
<param name="recovery_alpha_slow" value="0.0"/>
<param name="recovery_alpha_fast" value="0.0"/>
<remap from="scan" to="$(arg scan_topic)"/>
</node>
</launch>

base_local_planner_params.yaml

controller_frequency: 3.0
recovery_behavior_enabled: false
clearing_rotation_allowed: false TrajectoryPlannerROS:
max_vel_x: 0.3
min_vel_x: 0.05
max_vel_y: 0.0 # zero for a differential drive robot
min_vel_y: 0.0
min_in_place_vel_theta: 0.5
escape_vel: -0.1
acc_lim_x: 2.5
acc_lim_y: 0.0 # zero for a differential drive robot
acc_lim_theta: 3.2 holonomic_robot: false
yaw_goal_tolerance: 0.1 # about 6 degrees
xy_goal_tolerance: 0.15 # 10 cm
latch_xy_goal_tolerance: false
pdist_scale: 0.8
gdist_scale: 0.6
meter_scoring: true heading_lookahead: 0.325
heading_scoring: false
heading_scoring_timestep: 0.8
occdist_scale: 0.1
oscillation_reset_dist: 0.05
publish_cost_grid_pc: false
prune_plan: true sim_time: 1.0
sim_granularity: 0.025
angular_sim_granularity: 0.025
vx_samples: 8
vy_samples: 0 # zero for a differential drive robot
vtheta_samples: 20
dwa: true
simple_attractor: false

costmap_common_params.yaml

obstacle_range: 2.5
raytrace_range: 3.0
robot_radius: 0.165
inflation_radius: 0.3
max_obstacle_height: 0.6
min_obstacle_height: 0.0
observation_sources: scan
scan: {data_type: LaserScan, topic: /scan, marking: true, clearing: true, expected_update_rate: 0}

global_costmap_params.yaml

global_costmap:
global_frame: /map
robot_base_frame: /base_footprint
update_frequency: 1.0
publish_frequency: 0
static_map: true
rolling_window: false
resolution: 0.01
transform_tolerance: 1.0
map_type: costmap

local_costmap_params.yaml

local_costmap:
global_frame: /odom
robot_base_frame: /base_footprint
update_frequency: 5.0
publish_frequency: 1.0
static_map: false
rolling_window: true
width: 6.0
height: 6.0
resolution: 0.01
transform_tolerance: 1.0
map_type: costmap

把原先建好的图map.pgm  map.yaml 放在功能包/maps/下

roslaunch odom_tf_package  start.launch         机器人启动文件
roscat navigation_tutorials tb_demo_amcl.launch    导航文件
roslaunch navigation_tutorials rviz.launc rviz启动文件

movebase导航

movebase导航

上一篇:C#读写txt文件的两种方法介绍


下一篇:meizu mx4 usb调试