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Go2Py_SIM
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Rooholla-KhorramBakht 2024-04-24 06:52:35 +08:00
parent 5b5eb831fa
commit 2888b676bd
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63
deploy/nav2_ws/sportmode_nav2_new/CMakeLists.txt
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cmake_minimum_required(VERSION 3.5)
project(sportmode_nav2)
# Default to C99
if(NOT CMAKE_C_STANDARD)
set(CMAKE_C_STANDARD 99)
endif()
# Default to C++14
if(NOT CMAKE_CXX_STANDARD)
set(CMAKE_CXX_STANDARD 14)
endif()
if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
add_compile_options(-Wall -Wextra -Wpedantic)
endif()
include_directories(include include/common include/nlohmann)
link_directories(src)
set (
DEPENDENCY_LIST
rclcpp
std_msgs
rosbag2_cpp
sensor_msgs
geometry_msgs
nav_msgs
tf2
tf2_geometry_msgs
tf2_ros
tf2_sensor_msgs
)
# find dependencies
find_package(ament_cmake REQUIRED)
find_package(rclcpp REQUIRED)
find_package(std_msgs REQUIRED)
find_package(rosbag2_cpp REQUIRED)
find_package(sensor_msgs REQUIRED)
find_package(geometry_msgs REQUIRED)
find_package(nav_msgs REQUIRED)
find_package(tf2 REQUIRED)
find_package(tf2_geometry_msgs REQUIRED)
find_package(tf2_ros REQUIRED)
find_package(tf2_sensor_msgs REQUIRED)
# Install params config files.
install(DIRECTORY
params
launch
DESTINATION share/${PROJECT_NAME}
USE_SOURCE_PERMISSIONS
)
if(BUILD_TESTING)
find_package(ament_lint_auto REQUIRED)
ament_lint_auto_find_test_dependencies()
endif()
ament_package()

27
deploy/nav2_ws/sportmode_nav2_new/launch/localization.launch.py
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import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch_ros.actions import Node
def generate_launch_description():
robot_localization = IncludeLaunchDescription(
PythonLaunchDescriptionSource([os.path.join(
get_package_share_directory('sportmode_nav2'), 'launch'),
'/ros_ekf.launch.py'])
)
async_mapping = IncludeLaunchDescription(
PythonLaunchDescriptionSource([os.path.join(
get_package_share_directory('sportmode_nav2'), 'launch'),
'/localization_async.launch.py'])
)
return LaunchDescription([
robot_localization,
async_mapping,
])

59
deploy/nav2_ws/sportmode_nav2_new/launch/localization_async.launch.py
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import os
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, LogInfo
from launch.conditions import UnlessCondition
from launch.substitutions import LaunchConfiguration, PythonExpression
from launch_ros.actions import Node
from ament_index_python.packages import get_package_share_directory
from nav2_common.launch import HasNodeParams
def generate_launch_description():
use_sim_time = LaunchConfiguration('use_sim_time', default=False)
params_file = LaunchConfiguration('params_file')
default_params_file = os.path.join(get_package_share_directory("sportmode_nav2"),
'params', 'localization_async.yaml')
declare_use_sim_time_argument = DeclareLaunchArgument(
'use_sim_time',
default_value='false',
description='Use simulation/Gazebo clock')
declare_params_file_cmd = DeclareLaunchArgument(
'params_file',
default_value=default_params_file,
description='Full path to the ROS2 parameters file to use for the slam_toolbox node')
# If the provided param file doesn't have slam_toolbox params, we must pass the
# default_params_file instead. This could happen due to automatic propagation of
# LaunchArguments. See:
# https://github.com/ros-planning/navigation2/pull/2243#issuecomment-800479866
has_node_params = HasNodeParams(source_file=params_file,
node_name='slam_toolbox')
actual_params_file = PythonExpression(['"', params_file, '" if ', has_node_params,
' else "', default_params_file, '"'])
log_param_change = LogInfo(msg=['provided params_file ', params_file,
' does not contain slam_toolbox parameters. Using default: ',
default_params_file],
condition=UnlessCondition(has_node_params))
start_async_slam_toolbox_node = Node(
parameters=[
actual_params_file,
{'use_sim_time': use_sim_time}
],
package='slam_toolbox',
executable='async_slam_toolbox_node',
name='slam_toolbox',
output='screen')
ld = LaunchDescription()
ld.add_action(declare_use_sim_time_argument)
ld.add_action(declare_params_file_cmd)
ld.add_action(log_param_change)
ld.add_action(start_async_slam_toolbox_node)
return ld

27
deploy/nav2_ws/sportmode_nav2_new/launch/mapping.launch.py
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import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch_ros.actions import Node
def generate_launch_description():
robot_localization = IncludeLaunchDescription(
PythonLaunchDescriptionSource([os.path.join(
get_package_share_directory('sportmode_nav2'), 'launch'),
'/ros_ekf.launch.py'])
)
async_mapping = IncludeLaunchDescription(
PythonLaunchDescriptionSource([os.path.join(
get_package_share_directory('sportmode_nav2'), 'launch'),
'/mapping_async.launch.py'])
)
return LaunchDescription([
robot_localization,
async_mapping,
])

59
deploy/nav2_ws/sportmode_nav2_new/launch/mapping_async.launch.py
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import os
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, LogInfo
from launch.conditions import UnlessCondition
from launch.substitutions import LaunchConfiguration, PythonExpression
from launch_ros.actions import Node
from ament_index_python.packages import get_package_share_directory
from nav2_common.launch import HasNodeParams
def generate_launch_description():
use_sim_time = LaunchConfiguration('use_sim_time', default=False)
params_file = LaunchConfiguration('params_file')
default_params_file = os.path.join(get_package_share_directory("sportmode_nav2"),
'params', 'mapping_async.yaml')
declare_use_sim_time_argument = DeclareLaunchArgument(
'use_sim_time',
default_value='false',
description='Use simulation/Gazebo clock')
declare_params_file_cmd = DeclareLaunchArgument(
'params_file',
default_value=default_params_file,
description='Full path to the ROS2 parameters file to use for the slam_toolbox node')
# If the provided param file doesn't have slam_toolbox params, we must pass the
# default_params_file instead. This could happen due to automatic propagation of
# LaunchArguments. See:
# https://github.com/ros-planning/navigation2/pull/2243#issuecomment-800479866
has_node_params = HasNodeParams(source_file=params_file,
node_name='slam_toolbox')
actual_params_file = PythonExpression(['"', params_file, '" if ', has_node_params,
' else "', default_params_file, '"'])
log_param_change = LogInfo(msg=['provided params_file ', params_file,
' does not contain slam_toolbox parameters. Using default: ',
default_params_file],
condition=UnlessCondition(has_node_params))
start_async_slam_toolbox_node = Node(
parameters=[
actual_params_file,
{'use_sim_time': use_sim_time}
],
package='slam_toolbox',
executable='async_slam_toolbox_node',
name='slam_toolbox',
output='screen')
ld = LaunchDescription()
ld.add_action(declare_use_sim_time_argument)
ld.add_action(declare_params_file_cmd)
ld.add_action(log_param_change)
ld.add_action(start_async_slam_toolbox_node)
return ld

146
deploy/nav2_ws/sportmode_nav2_new/launch/navigation.launch.py
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# Copyright (c) 2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, SetEnvironmentVariable
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from nav2_common.launch import RewrittenYaml
def generate_launch_description():
# Get the launch directory
bringup_dir = get_package_share_directory('sportmode_nav2')
namespace = LaunchConfiguration('namespace')
use_sim_time = LaunchConfiguration('use_sim_time')
autostart = LaunchConfiguration('autostart')
params_file = LaunchConfiguration('params_file')
default_bt_xml_filename = LaunchConfiguration('default_bt_xml_filename')
map_subscribe_transient_local = LaunchConfiguration('map_subscribe_transient_local')
lifecycle_nodes = ['controller_server',
'planner_server',
'recoveries_server',
'bt_navigator',
'waypoint_follower']
# Map fully qualified names to relative ones so the node's namespace can be prepended.
# In case of the transforms (tf), currently, there doesn't seem to be a better alternative
# https://github.com/ros/geometry2/issues/32
# https://github.com/ros/robot_state_publisher/pull/30
# TODO(orduno) Substitute with `PushNodeRemapping`
# https://github.com/ros2/launch_ros/issues/56
remappings = [('/tf', '/tf'),
('/tf_static', '/tf_static'),
('/cmd_vel', '/go2/cmd_vel')]
# Create our own temporary YAML files that include substitutions
param_substitutions = {
'use_sim_time': use_sim_time,
'default_bt_xml_filename': default_bt_xml_filename,
'autostart': autostart,
'map_subscribe_transient_local': map_subscribe_transient_local}
configured_params = RewrittenYaml(
source_file=params_file,
root_key=namespace,
param_rewrites=param_substitutions,
convert_types=True)
return LaunchDescription([
# Set env var to print messages to stdout immediately
SetEnvironmentVariable('RCUTILS_LOGGING_BUFFERED_STREAM', '1'),
DeclareLaunchArgument(
'namespace', default_value='',
description='Top-level namespace'),
DeclareLaunchArgument(
'use_sim_time', default_value='false',
description='Use simulation (Gazebo) clock if true'),
DeclareLaunchArgument(
'autostart', default_value='true',
description='Automatically startup the nav2 stack'),
DeclareLaunchArgument(
'params_file',
default_value=os.path.join(bringup_dir, 'params', 'nav2_params.yaml'),
description='Full path to the ROS2 parameters file to use'),
DeclareLaunchArgument(
'default_bt_xml_filename',
default_value=os.path.join(
get_package_share_directory('nav2_bt_navigator'),
'behavior_trees', 'navigate_w_replanning_and_recovery.xml'),
description='Full path to the behavior tree xml file to use'),
DeclareLaunchArgument(
'map_subscribe_transient_local', default_value='false',
description='Whether to set the map subscriber QoS to transient local'),
Node(
package='nav2_controller',
executable='controller_server',
output='screen',
parameters=[configured_params],
remappings=remappings),
Node(
package='nav2_planner',
executable='planner_server',
name='planner_server',
output='screen',
parameters=[configured_params],
remappings=remappings),
Node(
package='nav2_recoveries',
executable='recoveries_server',
name='recoveries_server',
output='screen',
parameters=[configured_params],
remappings=remappings),
Node(
package='nav2_bt_navigator',
executable='bt_navigator',
name='bt_navigator',
output='screen',
parameters=[configured_params],
remappings=remappings),
Node(
package='nav2_waypoint_follower',
executable='waypoint_follower',
name='waypoint_follower',
output='screen',
parameters=[configured_params],
remappings=remappings),
Node(
package='nav2_lifecycle_manager',
executable='lifecycle_manager',
name='lifecycle_manager_navigation',
output='screen',
parameters=[{'use_sim_time': use_sim_time},
{'autostart': autostart},
{'node_names': lifecycle_nodes}]),
])

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deploy/nav2_ws/sportmode_nav2_new/launch/navigation_launch.py
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# Copyright (c) 2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, GroupAction, SetEnvironmentVariable
from launch.conditions import IfCondition
from launch.substitutions import LaunchConfiguration, PythonExpression
from launch_ros.actions import LoadComposableNodes
from launch_ros.actions import Node
from launch_ros.descriptions import ComposableNode, ParameterFile
from nav2_common.launch import RewrittenYaml
def generate_launch_description():
# Get the launch directory
bringup_dir = get_package_share_directory('nav2_bringup')
namespace = LaunchConfiguration('namespace')
use_sim_time = LaunchConfiguration('use_sim_time')
autostart = LaunchConfiguration('autostart')
params_file = LaunchConfiguration('params_file')
use_composition = LaunchConfiguration('use_composition')
container_name = LaunchConfiguration('container_name')
container_name_full = (namespace, '/', container_name)
use_respawn = LaunchConfiguration('use_respawn')
log_level = LaunchConfiguration('log_level')
lifecycle_nodes = ['controller_server',
'smoother_server',
'planner_server',
'behavior_server',
'bt_navigator',
'waypoint_follower',
'velocity_smoother']
# Map fully qualified names to relative ones so the node's namespace can be prepended.
# In case of the transforms (tf), currently, there doesn't seem to be a better alternative
# https://github.com/ros/geometry2/issues/32
# https://github.com/ros/robot_state_publisher/pull/30
# TODO(orduno) Substitute with `PushNodeRemapping`
# https://github.com/ros2/launch_ros/issues/56
remappings = [('/tf', 'tf'),
('/tf_static', 'tf_static'),('/cmd_vel', '/go2/cmd_vel')]
# Create our own temporary YAML files that include substitutions
param_substitutions = {
'use_sim_time': use_sim_time,
'autostart': autostart}
configured_params = ParameterFile(
RewrittenYaml(
source_file=params_file,
root_key=namespace,
param_rewrites=param_substitutions,
convert_types=True),
allow_substs=True)
stdout_linebuf_envvar = SetEnvironmentVariable(
'RCUTILS_LOGGING_BUFFERED_STREAM', '1')
declare_namespace_cmd = DeclareLaunchArgument(
'namespace',
default_value='',
description='Top-level namespace')
declare_use_sim_time_cmd = DeclareLaunchArgument(
'use_sim_time',
default_value='false',
description='Use simulation (Gazebo) clock if true')
declare_params_file_cmd = DeclareLaunchArgument(
'params_file',
default_value=os.path.join(bringup_dir, 'params', 'nav2_params.yaml'),
description='Full path to the ROS2 parameters file to use for all launched nodes')
declare_autostart_cmd = DeclareLaunchArgument(
'autostart', default_value='true',
description='Automatically startup the nav2 stack')
declare_use_composition_cmd = DeclareLaunchArgument(
'use_composition', default_value='False',
description='Use composed bringup if True')
declare_container_name_cmd = DeclareLaunchArgument(
'container_name', default_value='nav2_container',
description='the name of conatiner that nodes will load in if use composition')
declare_use_respawn_cmd = DeclareLaunchArgument(
'use_respawn', default_value='False',
description='Whether to respawn if a node crashes. Applied when composition is disabled.')
declare_log_level_cmd = DeclareLaunchArgument(
'log_level', default_value='info',
description='log level')
load_nodes = GroupAction(
condition=IfCondition(PythonExpression(['not ', use_composition])),
actions=[
Node(
package='nav2_controller',
executable='controller_server',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings + [('cmd_vel', 'cmd_vel_nav')]),
Node(
package='nav2_smoother',
executable='smoother_server',
name='smoother_server',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings),
Node(
package='nav2_planner',
executable='planner_server',
name='planner_server',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings),
Node(
package='nav2_behaviors',
executable='behavior_server',
name='behavior_server',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings),
Node(
package='nav2_bt_navigator',
executable='bt_navigator',
name='bt_navigator',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings),
Node(
package='nav2_waypoint_follower',
executable='waypoint_follower',
name='waypoint_follower',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings),
Node(
package='nav2_velocity_smoother',
executable='velocity_smoother',
name='velocity_smoother',
output='screen',
respawn=use_respawn,
respawn_delay=2.0,
parameters=[configured_params],
arguments=['--ros-args', '--log-level', log_level],
remappings=remappings +
[('cmd_vel', 'cmd_vel_nav'), ('cmd_vel_smoothed', 'cmd_vel')]),
Node(
package='nav2_lifecycle_manager',
executable='lifecycle_manager',
name='lifecycle_manager_navigation',
output='screen',
arguments=['--ros-args', '--log-level', log_level],
parameters=[{'use_sim_time': use_sim_time},
{'autostart': autostart},
{'node_names': lifecycle_nodes}]),
]
)
load_composable_nodes = LoadComposableNodes(
condition=IfCondition(use_composition),
target_container=container_name_full,
composable_node_descriptions=[
ComposableNode(
package='nav2_controller',
plugin='nav2_controller::ControllerServer',
name='controller_server',
parameters=[configured_params],
remappings=remappings + [('cmd_vel', 'cmd_vel_nav')]),
ComposableNode(
package='nav2_smoother',
plugin='nav2_smoother::SmootherServer',
name='smoother_server',
parameters=[configured_params],
remappings=remappings),
ComposableNode(
package='nav2_planner',
plugin='nav2_planner::PlannerServer',
name='planner_server',
parameters=[configured_params],
remappings=remappings),
ComposableNode(
package='nav2_behaviors',
plugin='behavior_server::BehaviorServer',
name='behavior_server',
parameters=[configured_params],
remappings=remappings),
ComposableNode(
package='nav2_bt_navigator',
plugin='nav2_bt_navigator::BtNavigator',
name='bt_navigator',
parameters=[configured_params],
remappings=remappings),
ComposableNode(
package='nav2_waypoint_follower',
plugin='nav2_waypoint_follower::WaypointFollower',
name='waypoint_follower',
parameters=[configured_params],
remappings=remappings),
ComposableNode(
package='nav2_velocity_smoother',
plugin='nav2_velocity_smoother::VelocitySmoother',
name='velocity_smoother',
parameters=[configured_params],
remappings=remappings +
[('cmd_vel', 'cmd_vel_nav'), ('cmd_vel_smoothed', 'cmd_vel')]),
ComposableNode(
package='nav2_lifecycle_manager',
plugin='nav2_lifecycle_manager::LifecycleManager',
name='lifecycle_manager_navigation',
parameters=[{'use_sim_time': use_sim_time,
'autostart': autostart,
'node_names': lifecycle_nodes}]),
],
)
# Create the launch description and populate
ld = LaunchDescription()
# Set environment variables
ld.add_action(stdout_linebuf_envvar)
# Declare the launch options
ld.add_action(declare_namespace_cmd)
ld.add_action(declare_use_sim_time_cmd)
ld.add_action(declare_params_file_cmd)
ld.add_action(declare_autostart_cmd)
ld.add_action(declare_use_composition_cmd)
ld.add_action(declare_container_name_cmd)
ld.add_action(declare_use_respawn_cmd)
ld.add_action(declare_log_level_cmd)
# Add the actions to launch all of the navigation nodes
ld.add_action(load_nodes)
ld.add_action(load_composable_nodes)
return ld

35
deploy/nav2_ws/sportmode_nav2_new/launch/ros_ekf.launch.py
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# Copyright 2018 Open Source Robotics Foundation, Inc.
# Copyright 2019 Samsung Research America
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from launch import LaunchDescription
from ament_index_python.packages import get_package_share_directory
import launch_ros.actions
import os
import yaml
from launch.substitutions import EnvironmentVariable
import pathlib
import launch.actions
from launch.actions import DeclareLaunchArgument
def generate_launch_description():
return LaunchDescription([
launch_ros.actions.Node(
package='robot_localization',
executable='ekf_node',
name='ekf_filter_node',
output='screen',
parameters=[os.path.join(get_package_share_directory("sportmode_nav2"), 'params', 'ros_ekf.yaml')],
),
])

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deploy/nav2_ws/sportmode_nav2_new/package.xml
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<?xml version="1.0"?>
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>sportmode_nav2</name>
<version>0.0.0</version>
<description>TODO: Package description</description>
<maintainer email="zeendi@163.com">zeen</maintainer>
<license>TODO: License declaration</license>
<buildtool_depend>ament_cmake</buildtool_depend>
<depend>rclcpp</depend>
<test_depend>ament_lint_auto</test_depend>
<test_depend>ament_lint_common</test_depend>
<test_depend>robot_locoalization</test_depend>
<test_depend>slam_toolbox</test_depend>
<export>
<build_type>ament_cmake</build_type>
</export>
</package>

73
deploy/nav2_ws/sportmode_nav2_new/params/localization_async.yaml
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slam_toolbox:
ros__parameters:
# Plugin params
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_link # ToDo: add a base_footprint to the URDF
scan_topic: /go2/scan
mode: localization
# if you'd like to immediately start continuing a map at a given pose
# or at the dock, but they are mutually exclusive, if pose is given
# will use pose
map_file_name: /home/unitree/locomotion/Go2Py/deploy/nav2_ws/maps/feb23_basement
#map_start_pose: [0.33, 1.49, 0.0]
map_start_at_dock: true
debug_logging: false
throttle_scans: 1
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 5.0
resolution: 0.05
max_laser_range: 20.0 #for rastering images
minimum_time_interval: 0.5
transform_timeout: 0.2
tf_buffer_duration: 30.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
enable_interactive_mode: true
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.5
minimum_travel_heading: 0.5
scan_buffer_size: 10
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
loop_search_maximum_distance: 3.0
do_loop_closing: true
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true

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slam_toolbox:
ros__parameters:
# Plugin params
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_link # ToDo: add a base_footprint to the URDF
scan_topic: /go2/scan
mode: mapping #localization
# if you'd like to immediately start continuing a map at a given pose
# or at the dock, but they are mutually exclusive, if pose is given
# will use pose
#map_file_name: test_steve
# map_start_pose: [0.0, 0.0, 0.0]
#map_start_at_dock: true
debug_logging: false
throttle_scans: 1
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 5.0
resolution: 0.05
max_laser_range: 20.0 #for rastering images
minimum_time_interval: 0.5
transform_timeout: 0.2
tf_buffer_duration: 30.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
enable_interactive_mode: true
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.5
minimum_travel_heading: 0.5
scan_buffer_size: 10
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
loop_search_maximum_distance: 3.0
do_loop_closing: true
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true

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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_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: "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
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_assisted_teleop_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_goal_updated_controller_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_assisted_teleop_cancel_bt_node
- nav2_drive_on_heading_cancel_bt_node
- nav2_is_battery_charging_condition_bt_node
bt_navigator_navigate_through_poses_rclcpp_node:
ros__parameters:
use_sim_time: True
bt_navigator_navigate_to_pose_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
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: /go2/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
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: /go2/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
map_server:
ros__parameters:
use_sim_time: True
# Overridden in launch by the "map" launch configuration or provided default value.
# To use in yaml, remove the default "map" value in the tb3_simulation_launch.py file & provide full path to map below.
yaml_filename: ""
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
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", "assisted_teleop", "wait"]
spin:
plugin: "nav2_behaviors/Spin"
backup:
plugin: "nav2_behaviors/BackUp"
drive_on_heading:
plugin: "nav2_behaviors/DriveOnHeading"
wait:
plugin: "nav2_behaviors/Wait"
assisted_teleop:
plugin: "nav2_behaviors/AssistedTeleop"
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:
use_sim_time: True
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: True
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

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### ekf config file ###
ekf_filter_node:
ros__parameters:
# The frequency, in Hz, at which the filter will output a position estimate. Note that the filter will not begin
# computation until it receives at least one message from one of the inputs. It will then run continuously at the
# frequency specified here, regardless of whether it receives more measurements. Defaults to 30 if unspecified.
frequency: 100.0
# The period, in seconds, after which we consider a sensor to have timed out. In this event, we carry out a predict
# cycle on the EKF without correcting it. This parameter can be thought of as the minimum frequency with which the
# filter will generate new output. Defaults to 1 / frequency if not specified.
sensor_timeout: 0.1
# ekf_localization_node and ukf_localization_node both use a 3D omnidirectional motion model. If this parameter is
# set to true, no 3D information will be used in your state estimate. Use this if you are operating in a planar
# environment and want to ignore the effect of small variations in the ground plane that might otherwise be detected
# by, for example, an IMU. Defaults to false if unspecified.
two_d_mode: false
# Use this parameter to provide an offset to the transform generated by ekf_localization_node. This can be used for
# future dating the transform, which is required for interaction with some other packages. Defaults to 0.0 if
# unspecified.
transform_time_offset: 0.0
# Use this parameter to provide specify how long the tf listener should wait for a transform to become available.
# Defaults to 0.0 if unspecified.
transform_timeout: 0.0
# If you're having trouble, try setting this to true, and then echo the /diagnostics_agg topic to see if the node is
# unhappy with any settings or data.
print_diagnostics: true
# Debug settings. Not for the faint of heart. Outputs a ludicrous amount of information to the file specified by
# debug_out_file. I hope you like matrices! Please note that setting this to true will have strongly deleterious
# effects on the performance of the node. Defaults to false if unspecified.
debug: false
# Defaults to "robot_localization_debug.txt" if unspecified. Please specify the full path.
debug_out_file: /path/to/debug/file.txt
# Whether we'll allow old measurements to cause a re-publication of the updated state
permit_corrected_publication: false
# Whether to publish the acceleration state. Defaults to false if unspecified.
publish_acceleration: false
# Whether to broadcast the transformation over the /tf topic. Defaults to true if unspecified.
publish_tf: true
# REP-105 (http://www.ros.org/reps/rep-0105.html) specifies four principal coordinate frames: base_link, odom, map, and
# earth. base_link is the coordinate frame that is affixed to the robot. Both odom and map are world-fixed frames.
# The robot's position in the odom frame will drift over time, but is accurate in the short term and should be
# continuous. The odom frame is therefore the best frame for executing local motion plans. The map frame, like the odom
# frame, is a world-fixed coordinate frame, and while it contains the most globally accurate position estimate for your
# robot, it is subject to discrete jumps, e.g., due to the fusion of GPS data or a correction from a map-based
# localization node. The earth frame is used to relate multiple map frames by giving them a common reference frame.
# ekf_localization_node and ukf_localization_node are not concerned with the earth frame.
# Here is how to use the following settings:
# 1. Set the map_frame, odom_frame, and base_link frames to the appropriate frame names for your system.
# 1a. If your system does not have a map_frame, just remove it, and make sure "world_frame" is set to the value of
# odom_frame.
# 2. If you are fusing continuous position data such as wheel encoder odometry, visual odometry, or IMU data, set
# "world_frame" to your odom_frame value. This is the default behavior for robot_localization's state estimation nodes.
# 3. If you are fusing global absolute position data that is subject to discrete jumps (e.g., GPS or position updates
# from landmark observations) then:
# 3a. Set your "world_frame" to your map_frame value
# 3b. MAKE SURE something else is generating the odom->base_link transform. Note that this can even be another state
# estimation node from robot_localization! However, that instance should *not* fuse the global data.
map_frame: odom # Defaults to "map" if unspecified
odom_frame: odom # Defaults to "odom" if unspecified
base_link_frame: base_link # Defaults to "base_link" if unspecified
world_frame: odom # Defaults to the value of odom_frame if unspecified
# The filter accepts an arbitrary number of inputs from each input message type (nav_msgs/Odometry,
# geometry_msgs/PoseWithCovarianceStamped, geometry_msgs/TwistWithCovarianceStamped,
# sensor_msgs/Imu). To add an input, simply append the next number in the sequence to its "base" name, e.g., odom0,
# odom1, twist0, twist1, imu0, imu1, imu2, etc. The value should be the topic name. These parameters obviously have no
# default values, and must be specified.
odom0: /utlidar/robot_odom
# Each sensor reading updates some or all of the filter's state. These options give you greater control over which
# values from each measurement are fed to the filter. For example, if you have an odometry message as input, but only
# want to use its Z position value, then set the entire vector to false, except for the third entry. The order of the
# values is x, y, z, roll, pitch, yaw, vx, vy, vz, vroll, vpitch, vyaw, ax, ay, az. Note that not some message types
# do not provide some of the state variables estimated by the filter. For example, a TwistWithCovarianceStamped message
# has no pose information, so the first six values would be meaningless in that case. Each vector defaults to all false
# if unspecified, effectively making this parameter required for each sensor.
odom0_config: [true, true, true,
true, true, true,
true, true, true,
true, true, true,
false, false, false]
# If you have high-frequency data or are running with a low frequency parameter value, then you may want to increase
# the size of the subscription queue so that more measurements are fused.
odom0_queue_size: 2
# [ADVANCED] Large messages in ROS can exhibit strange behavior when they arrive at a high frequency. This is a result
# of Nagle's algorithm. This option tells the ROS subscriber to use the tcpNoDelay option, which disables Nagle's
# algorithm.
odom0_nodelay: false
# [ADVANCED] When measuring one pose variable with two sensors, a situation can arise in which both sensors under-
# report their covariances. This can lead to the filter rapidly jumping back and forth between each measurement as they
# arrive. In these cases, it often makes sense to (a) correct the measurement covariances, or (b) if velocity is also
# measured by one of the sensors, let one sensor measure pose, and the other velocity. However, doing (a) or (b) isn't
# always feasible, and so we expose the differential parameter. When differential mode is enabled, all absolute pose
# data is converted to velocity data by differentiating the absolute pose measurements. These velocities are then
# integrated as usual. NOTE: this only applies to sensors that provide pose measurements; setting differential to true
# for twist measurements has no effect.
odom0_differential: false
# [ADVANCED] When the node starts, if this parameter is true, then the first measurement is treated as a "zero point"
# for all future measurements. While you can achieve the same effect with the differential paremeter, the key
# difference is that the relative parameter doesn't cause the measurement to be converted to a velocity before
# integrating it. If you simply want your measurements to start at 0 for a given sensor, set this to true.
odom0_relative: true
# [ADVANCED] If your data is subject to outliers, use these threshold settings, expressed as Mahalanobis distances, to
# control how far away from the current vehicle state a sensor measurement is permitted to be. Each defaults to
# numeric_limits<double>::max() if unspecified. It is strongly recommended that these parameters be removed if not
# required. Data is specified at the level of pose and twist variables, rather than for each variable in isolation.
# For messages that have both pose and twist data, the parameter specifies to which part of the message we are applying
# the thresholds.
odom0_pose_rejection_threshold: 5.0
odom0_twist_rejection_threshold: 1.0
# imu0: /utlidar/imu
# imu0_config: [false, false, false,
# true, true, true,
# false, false, false,
# true, true, true,
# true, true, true]
# imu0_nodelay: false
# imu0_differential: false
# imu0_relative: true
# imu0_queue_size: 5
# imu0_pose_rejection_threshold: 0.8 # Note the difference in parameter names
# imu0_twist_rejection_threshold: 0.8 #
# imu0_linear_acceleration_rejection_threshold: 0.8 #
# [ADVANCED] Some IMUs automatically remove acceleration due to gravity, and others don't. If yours doesn't, please set
# this to true, and *make sure* your data conforms to REP-103, specifically, that the data is in ENU frame.
imu0_remove_gravitational_acceleration: true
# [ADVANCED] The EKF and UKF models follow a standard predict/correct cycle. During prediction, if there is no
# acceleration reference, the velocity at time t+1 is simply predicted to be the same as the velocity at time t. During
# correction, this predicted value is fused with the measured value to produce the new velocity estimate. This can be
# problematic, as the final velocity will effectively be a weighted average of the old velocity and the new one. When
# this velocity is the integrated into a new pose, the result can be sluggish covergence. This effect is especially
# noticeable with LIDAR data during rotations. To get around it, users can try inflating the process_noise_covariance
# for the velocity variable in question, or decrease the variance of the variable in question in the measurement
# itself. In addition, users can also take advantage of the control command being issued to the robot at the time we
# make the prediction. If control is used, it will get converted into an acceleration term, which will be used during
# predicition. Note that if an acceleration measurement for the variable in question is available from one of the
# inputs, the control term will be ignored.
# Whether or not we use the control input during predicition. Defaults to false.
use_control: true
# Whether the input (assumed to be cmd_vel) is a geometry_msgs/Twist or geometry_msgs/TwistStamped message. Defaults to
# false.
stamped_control: false
# The last issued control command will be used in prediction for this period. Defaults to 0.2.
control_timeout: 0.2
# Which velocities are being controlled. Order is vx, vy, vz, vroll, vpitch, vyaw.
control_config: [true, false, false, false, false, true]
# Places limits on how large the acceleration term will be. Should match your robot's kinematics.
acceleration_limits: [1.3, 0.0, 0.0, 0.0, 0.0, 3.4]
# Acceleration and deceleration limits are not always the same for robots.
deceleration_limits: [1.3, 0.0, 0.0, 0.0, 0.0, 4.5]
# If your robot cannot instantaneously reach its acceleration limit, the permitted change can be controlled with these
# gains
acceleration_gains: [0.8, 0.0, 0.0, 0.0, 0.0, 0.9]
# If your robot cannot instantaneously reach its deceleration limit, the permitted change can be controlled with these
# gains
deceleration_gains: [1.0, 0.0, 0.0, 0.0, 0.0, 1.0]
# [ADVANCED] The process noise covariance matrix can be difficult to tune, and can vary for each application, so it is
# exposed as a configuration parameter. This matrix represents the noise we add to the total error after each
# prediction step. The better the omnidirectional motion model matches your system, the smaller these values can be.
# However, if users find that a given variable is slow to converge, one approach is to increase the
# process_noise_covariance diagonal value for the variable in question, which will cause the filter's predicted error
# to be larger, which will cause the filter to trust the incoming measurement more during correction. The values are
# ordered as x, y, z, roll, pitch, yaw, vx, vy, vz, vroll, vpitch, vyaw, ax, ay, az. Defaults to the matrix below if
# unspecified.
process_noise_covariance: [0.05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.04, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015]
# [ADVANCED] This represents the initial value for the state estimate error covariance matrix. Setting a diagonal
# value (variance) to a large value will result in rapid convergence for initial measurements of the variable in
# question. Users should take care not to use large values for variables that will not be measured directly. The values
# are ordered as x, y, z, roll, pitch, yaw, vx, vy, vz, vroll, vpitch, vyaw, ax, ay, az. Defaults to the matrix below
#if unspecified.
initial_estimate_covariance: [1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9, 0.0,
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1e-9]