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Merge branch 'main' into ch3/trajectory-cache-refactor
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stephanie-eng authored Sep 11, 2024
2 parents 3f05818 + e03890b commit d0d41ac
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1 change: 1 addition & 0 deletions .codespell_words
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SINIC
1 change: 0 additions & 1 deletion .dockerignore
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__pycache__
**/.git
**/.github
**/_scripts
**/_static
**/_templates
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2 changes: 1 addition & 1 deletion .github/upstream.repos
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Expand Up @@ -36,4 +36,4 @@ repositories:
gz_ros2_control:
type: git
url: https://github.com/ros-controls/gz_ros2_control.git
version: master
version: rolling
8 changes: 4 additions & 4 deletions .pre-commit-config.yaml
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Expand Up @@ -15,7 +15,7 @@
repos:
# Standard hooks
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v3.4.0
rev: v4.6.0
hooks:
- id: check-added-large-files
- id: check-case-conflict
Expand All @@ -28,7 +28,7 @@ repos:
- id: trailing-whitespace

- repo: https://github.com/psf/black
rev: 22.3.0
rev: 24.8.0
hooks:
- id: black

Expand All @@ -49,7 +49,7 @@ repos:
args: ['-fallback-style=none', '-i']

- repo: https://github.com/codespell-project/codespell
rev: v2.0.0
rev: v2.3.0
hooks:
- id: codespell
args: ['--write-changes']
args: ['--write-changes', '--ignore-words=.codespell_words']
2 changes: 1 addition & 1 deletion CMakeLists.txt
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Expand Up @@ -46,14 +46,14 @@ add_subdirectory(doc/examples/collision_environments)
# add_subdirectory(doc/examples/interactivity)
# add_subdirectory(doc/examples/kinematics)
# add_subdirectory(doc/examples/move_group_python_interface)
# add_subdirectory(doc/examples/perception_pipeline)
# add_subdirectory(doc/examples/pick_place)
# add_subdirectory(doc/examples/planning)
# add_subdirectory(doc/examples/state_display)
# add_subdirectory(doc/examples/subframes)
# add_subdirectory(doc/examples/tests)
# add_subdirectory(doc/examples/trajopt_planner)
# add_subdirectory(doc/examples/visualizing_collisions)
add_subdirectory(doc/examples/perception_pipeline)
add_subdirectory(doc/examples/jupyter_notebook_prototyping)
add_subdirectory(doc/examples/motion_planning_api)
add_subdirectory(doc/examples/motion_planning_pipeline)
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Expand Up @@ -72,7 +72,7 @@ bool LERPInterface::solve(const planning_scene::PlanningSceneConstPtr& planning_
std::vector<double> start_joint_values;
start_state->copyJointGroupPositions(joint_model_group, start_joint_values);

// This planner only supports one goal constriant in the request
// This planner only supports one goal constraint in the request
std::vector<moveit_msgs::Constraints> goal_constraints = req.goal_constraints;
std::vector<moveit_msgs::JointConstraint> goal_joint_constraint = goal_constraints[0].joint_constraints;

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2 changes: 1 addition & 1 deletion doc/examples/hybrid_planning/hybrid_planning_tutorial.rst
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Expand Up @@ -90,7 +90,7 @@ To include the Hybrid Planning Architecture into you project you need to add a *
Customizing the Hybrid Planning Architecture
--------------------------------------------
As the rest of MoveIt 2, the *Hybrid Planning Architecture* is designed to be highly customizable while also offering the possibility to easily re-use existing solutions. Each of the architecture's components is a ROS 2 node and can be completely replaced by your own custom ROS 2 node as long as it offers the API required by the other nodes. Each component's runtime behavior is defined by plugins. This section focuses on the customization of the *Hybrid Planning Architecture* by implementing your own plugins.
As the rest of MoveIt 2, the *Hybrid Planning Architecture* is designed to be highly customizable while also offering the possibility to easily reuse existing solutions. Each of the architecture's components is a ROS 2 node and can be completely replaced by your own custom ROS 2 node as long as it offers the API required by the other nodes. Each component's runtime behavior is defined by plugins. This section focuses on the customization of the *Hybrid Planning Architecture* by implementing your own plugins.

Global and Local Motion Planning
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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"""
A launch file that starts a Jupyter notebook server and nodes that support motion planning with the MoveIt Python library.
"""

import os
import yaml
from launch import LaunchDescription
Expand All @@ -18,7 +19,8 @@ def load_yaml(package_name, file_path):
try:
with open(absolute_file_path, "r") as file:
return yaml.safe_load(file)
except EnvironmentError: # parent of IOError, OSError *and* WindowsError where available
# parent of IOError, OSError *and* WindowsError where available
except EnvironmentError:
return None


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Expand Up @@ -13,7 +13,8 @@ def load_file(package_name, file_path):
try:
with open(absolute_file_path, "r") as file:
return file.read()
except EnvironmentError: # parent of IOError, OSError *and* WindowsError where available
# parent of IOError, OSError *and* WindowsError where available
except EnvironmentError:
return None


Expand All @@ -24,7 +25,8 @@ def load_yaml(package_name, file_path):
try:
with open(absolute_file_path, "r") as file:
return yaml.safe_load(file)
except EnvironmentError: # parent of IOError, OSError *and* WindowsError where available
# parent of IOError, OSError *and* WindowsError where available
except EnvironmentError:
return None


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"""
A launch file for running the motion planning python api tutorial
"""

import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
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2 changes: 1 addition & 1 deletion doc/examples/moveit_grasps/moveit_grasps_tutorial.rst
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Expand Up @@ -219,7 +219,7 @@ The ``setIdealGraspPoseRPY()`` and ``setIdealGraspPose()`` methods in GraspGener

These methods is used to score grasp candidates favoring grasps that are closer to the desired orientation.

This is useful in applications such as bin and shelf picking where you would want to pick the objects from a bin with a grasp that is vertically aligned and you would want to pick obejects from a shelf with a grasp that is horozontally aligned.
This is useful in applications such as bin and shelf picking where you would want to pick the objects from a bin with a grasp that is vertically aligned and you would want to pick objects from a shelf with a grasp that is horizontally aligned.

Tested Robots
-------------
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15 changes: 2 additions & 13 deletions doc/examples/perception_pipeline/CMakeLists.txt
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@@ -1,13 +1,2 @@
add_executable(cylinder_segment src/cylinder_segment.cpp)
target_link_libraries(cylinder_segment ${catkin_LIBRARIES})

add_executable(bag_publisher_maintain_time src/bag_publisher_maintain_time.cpp)
target_link_libraries(bag_publisher_maintain_time ${catkin_LIBRARIES} ${Boost_LIBRARIES})

install(
TARGETS
bag_publisher_maintain_time
cylinder_segment
DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION})

install(DIRECTORY launch DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION})
install(DIRECTORY urdf launch meshes config worlds rviz2
DESTINATION share/moveit2_tutorials)
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22 changes: 22 additions & 0 deletions doc/examples/perception_pipeline/config/sensors_3d.yaml
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sensors:
- camera_1_pointcloud
- camera_2_depth_image
camera_1_pointcloud:
sensor_plugin: occupancy_map_monitor/PointCloudOctomapUpdater
point_cloud_topic: /camera_1/points
max_range: 5.0
point_subsample: 1
padding_offset: 0.1
padding_scale: 1.0
max_update_rate: 1.0
filtered_cloud_topic: /camera_1/filtered_points
camera_2_depth_image:
sensor_plugin: occupancy_map_monitor/DepthImageOctomapUpdater
image_topic: /camera_2/depth/image_raw
queue_size: 5
near_clipping_plane_distance: 0.3
far_clipping_plane_distance: 5.0
shadow_threshold: 0.2
padding_scale: 1.0
max_update_rate: 1.0
filtered_cloud_topic: /camera_2/filtered_points
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import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.substitutions import Command
from launch_ros.substitutions import FindPackageShare
from launch_ros.actions import Node
from launch.actions import IncludeLaunchDescription
from launch.substitutions import PathJoinSubstitution
import math


def generate_launch_description():
urdf_file = os.path.join(
get_package_share_directory("moveit2_tutorials"),
"urdf/realsense_d435/camera.urdf.xacro",
)

# The list presents the pose in euler coordinates ordered x, y, z, yaw, pitch, roll respectively.
camera_1_pose = ["-1", "-1", "0", f"{math.pi/2}", "0.0", "0.0"]
camera_2_pose = ["-1", "1", "0", f"-{math.pi/2}", "0.0", "0.0"]

# It is necessary for gazebo spawner to use the description of camera_1 in gazebo environment
camera_1_robot_state_publisher_node = Node(
package="robot_state_publisher",
executable="robot_state_publisher",
name="robot_state_publisher",
output="screen",
parameters=[
{
"use_sim_time": True,
"robot_description": Command(
[f"xacro {urdf_file}", " camera_name:='camera_1'"]
),
}
],
remappings=[
("robot_description", "/camera_1/robot_description"),
],
)

# It is necessary for spawning camera_1 in gazebo environment
camera_1_gazebo_spawner_node = Node(
package="gazebo_ros",
executable="spawn_entity.py",
arguments=[
"-entity",
"mr_camera",
"-topic",
"/camera_1/robot_description",
"-x",
camera_1_pose[0],
"-y",
camera_1_pose[1],
"-z",
camera_1_pose[2],
"-Y",
camera_1_pose[3],
"-P",
camera_1_pose[4],
"-R",
camera_1_pose[5],
],
output="screen",
)

# It is necessary to make transformation between world frame and camera frames enable later.
camera_1_tf_from_world_publisher_node = Node(
package="tf2_ros",
executable="static_transform_publisher",
name="static_transform_publisher",
output="log",
arguments=[*camera_1_pose, "world", "camera_1_base_link"],
)

# It is necessary for gazebo spawner to use the description of camera_2 in gazebo environment
camera_2_gazebo_spawner_node = Node(
package="robot_state_publisher",
executable="robot_state_publisher",
name="robot_state_publisher2",
output="screen",
parameters=[
{
"use_sim_time": True,
"robot_description": Command(
[f"xacro {urdf_file}", " camera_name:='camera_2'"]
),
}
],
remappings=[
("robot_description", "/camera_2/robot_description"),
],
)

# It is necessary for spawning camera_2 in gazebo environment
camera_2_robot_state_publisher_node = Node(
package="gazebo_ros",
executable="spawn_entity.py",
name="spawn2",
arguments=[
"-entity",
"mr_camera2",
"-topic",
"/camera_2/robot_description",
"-x",
camera_2_pose[0],
"-y",
camera_2_pose[1],
"-z",
camera_2_pose[2],
"-Y",
camera_2_pose[3],
"-P",
camera_2_pose[4],
"-R",
camera_2_pose[5],
],
output="screen",
)

# It is necessary to make transformation between world frame and camera frames enable later.
camera_2_tf_from_world_publisher_node = Node(
package="tf2_ros",
executable="static_transform_publisher",
name="static_transform_publisher",
output="log",
arguments=[*camera_2_pose, "world", "camera_2_base_link"],
)

# It is necessary to open previously created gazebo world for perception pipeline demo.
gazebo_launch = IncludeLaunchDescription(
PathJoinSubstitution(
[FindPackageShare("gazebo_ros"), "launch", "gazebo.launch.py"]
),
launch_arguments={
"world": os.path.join(
get_package_share_directory("moveit2_tutorials"),
"worlds",
"perception_pipeline_demo.world",
),
}.items(),
)

return LaunchDescription(
[
camera_1_robot_state_publisher_node,
camera_1_gazebo_spawner_node,
camera_1_tf_from_world_publisher_node,
camera_2_robot_state_publisher_node,
camera_2_gazebo_spawner_node,
camera_2_tf_from_world_publisher_node,
gazebo_launch,
]
)

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