MoveItCpp Tutorial

Introduction

MoveItCpp is a new high level interface, a unified C++ API that does not require the use of ROS Actions, Services, and Messages to access the core MoveIt functionality, and an alternative (not a full replacement) for the existing MoveGroup API, we recommend this interface for advanced users needing more realtime control or for industry applications. This interface has been developed at PickNik Robotics by necessity for our many commercial applications.

../../_images/moveitcpp_start.png

Getting Started

If you haven’t already done so, make sure you’ve completed the steps in Getting Started.

Running the Code

Open a shell, run the launch file:

roslaunch moveit_tutorials moveit_cpp_tutorial.launch

Note: This tutorial uses the RvizVisualToolsGui panel to step through the demo. To add this panel to RViz, follow the instructions in the Visualization Tutorial.

After a short moment, the RViz window should appear and look similar to the one at the top of this page. To progress through each demo step either press the Next button in the RvizVisualToolsGui panel at the bottom of the screen or select Key Tool in the Tools panel at the top of the screen and then press N on your keyboard while RViz is focused.

The Entire Code

The entire code can be seen here in the MoveIt GitHub project. Next we step through the code piece by piece to explain its functionality.

Setup

static const std::string PLANNING_GROUP = "panda_arm";
static const std::string LOGNAME = "moveit_cpp_tutorial";

/* Otherwise robot with zeros joint_states */
ros::Duration(1.0).sleep();

ROS_INFO_STREAM_NAMED(LOGNAME, "Starting MoveIt Tutorials...");

auto moveit_cpp_ptr = std::make_shared<moveit::planning_interface::MoveItCpp>(nh);
moveit_cpp_ptr->getPlanningSceneMonitor()->providePlanningSceneService();

auto planning_components =
    std::make_shared<moveit::planning_interface::PlanningComponent>(PLANNING_GROUP, moveit_cpp_ptr);
auto robot_model_ptr = moveit_cpp_ptr->getRobotModel();
auto robot_start_state = planning_components->getStartState();
auto joint_model_group_ptr = robot_model_ptr->getJointModelGroup(PLANNING_GROUP);

Visualization

The package MoveItVisualTools provides many capabilties for visualizing objects, robots, and trajectories in RViz as well as debugging tools such as step-by-step introspection of a script

moveit_visual_tools::MoveItVisualTools visual_tools("panda_link0", rvt::RVIZ_MARKER_TOPIC,
                                                    moveit_cpp_ptr->getPlanningSceneMonitor());
visual_tools.deleteAllMarkers();
visual_tools.loadRemoteControl();

Eigen::Isometry3d text_pose = Eigen::Isometry3d::Identity();
text_pose.translation().z() = 1.75;
visual_tools.publishText(text_pose, "MoveItCpp Demo", rvt::WHITE, rvt::XLARGE);
visual_tools.trigger();

Start the demo

visual_tools.prompt("Press 'next' in the RvizVisualToolsGui window to start the demo");

Planning with MoveItCpp

There are multiple ways to set the start and the goal states of the plan they are illustrated in the following plan examples

Plan #1

We can set the start state of the plan to the current state of the robot

planning_components->setStartStateToCurrentState();

The first way to set the goal of the plan is by using geometry_msgs::PoseStamped ROS message type as follow

geometry_msgs::PoseStamped target_pose1;
target_pose1.header.frame_id = "panda_link0";
target_pose1.pose.orientation.w = 1.0;
target_pose1.pose.position.x = 0.28;
target_pose1.pose.position.y = -0.2;
target_pose1.pose.position.z = 0.5;
planning_components->setGoal(target_pose1, "panda_link8");

Now, we call the PlanningComponents to compute the plan and visualize it. Note that we are just planning

auto plan_solution1 = planning_components->plan();

Check if PlanningComponents succeeded in finding the plan

if (plan_solution1)
{

Visualize the start pose in Rviz

visual_tools.publishAxisLabeled(robot_start_state->getGlobalLinkTransform("panda_link8"), "start_pose");
visual_tools.publishText(text_pose, "Start Pose", rvt::WHITE, rvt::XLARGE);

Visualize the goal pose in Rviz

visual_tools.publishAxisLabeled(target_pose1.pose, "target_pose");
visual_tools.publishText(text_pose, "Goal Pose", rvt::WHITE, rvt::XLARGE);

Visualize the trajectory in Rviz

  visual_tools.publishTrajectoryLine(plan_solution1.trajectory, joint_model_group_ptr);
  visual_tools.trigger();

  /* Uncomment if you want to execute the plan */
  /* planning_components->execute(); // Execute the plan */
}

Plan #1 visualization:

../../_images/moveitcpp_plan1.png

Start the next plan

visual_tools.deleteAllMarkers();
visual_tools.prompt("Press 'next' in the RvizVisualToolsGui window to continue the demo");

Plan #2

Here we will set the current state of the plan using moveit::core::RobotState

auto start_state = *(moveit_cpp_ptr->getCurrentState());
geometry_msgs::Pose start_pose;
start_pose.orientation.w = 1.0;
start_pose.position.x = 0.55;
start_pose.position.y = 0.0;
start_pose.position.z = 0.6;

start_state.setFromIK(joint_model_group_ptr, start_pose);

planning_components->setStartState(start_state);

We will reuse the old goal that we had and plan to it.

auto plan_solution2 = planning_components->plan();
if (plan_solution2)
{
  moveit::core::RobotState robot_state(robot_model_ptr);
  moveit::core::robotStateMsgToRobotState(plan_solution2.start_state, robot_state);

  visual_tools.publishText(text_pose, "Start Pose", rvt::WHITE, rvt::XLARGE);
  visual_tools.publishAxisLabeled(robot_state.getGlobalLinkTransform("panda_link8"), "start_pose");
  visual_tools.publishText(text_pose, "Goal Pose", rvt::WHITE, rvt::XLARGE);
  visual_tools.publishAxisLabeled(target_pose1.pose, "target_pose");
  visual_tools.publishTrajectoryLine(plan_solution2.trajectory, joint_model_group_ptr);
  visual_tools.trigger();

  /* Uncomment if you want to execute the plan */
  /* planning_components->execute(); // Execute the plan */
}

Plan #2 visualization:

../../_images/moveitcpp_plan2.png

Start the next plan

visual_tools.deleteAllMarkers();
visual_tools.prompt("Press 'next' in the RvizVisualToolsGui window to continue the demo");

Plan #3

We can also set the goal of the plan using moveit::core::RobotState

auto target_state = *robot_start_state;
geometry_msgs::Pose target_pose2;
target_pose2.orientation.w = 1.0;
target_pose2.position.x = 0.55;
target_pose2.position.y = -0.05;
target_pose2.position.z = 0.8;

target_state.setFromIK(joint_model_group_ptr, target_pose2);

planning_components->setGoal(target_state);

We will reuse the old start that we had and plan from it.

auto plan_solution3 = planning_components->plan();
if (plan_solution3)
{
  moveit::core::RobotState robot_state(robot_model_ptr);
  moveit::core::robotStateMsgToRobotState(plan_solution3.start_state, robot_state);

  visual_tools.publishText(text_pose, "Start Pose", rvt::WHITE, rvt::XLARGE);
  visual_tools.publishAxisLabeled(robot_state.getGlobalLinkTransform("panda_link8"), "start_pose");
  visual_tools.publishText(text_pose, "Goal Pose", rvt::WHITE, rvt::XLARGE);
  visual_tools.publishAxisLabeled(target_pose2, "target_pose");
  visual_tools.publishTrajectoryLine(plan_solution3.trajectory, joint_model_group_ptr);
  visual_tools.trigger();

  /* Uncomment if you want to execute the plan */
  /* planning_components->execute(); // Execute the plan */
}

Plan #3 visualization:

../../_images/moveitcpp_plan3.png

Start the next plan

visual_tools.deleteAllMarkers();
visual_tools.prompt("Press 'next' in the RvizVisualToolsGui window to continue the demo");

Plan #4

We can set the start state of the plan to the current state of the robot We can set the goal of the plan using the name of a group states for panda robot we have one named robot state for “panda_arm” planning group called “ready” see panda_arm.xacro

/* // Set the start state of the plan from a named robot state */
/* planning_components->setStartState("ready"); // Not implemented yet */

Set the goal state of the plan from a named robot state

planning_components->setGoal("ready");

Again we will reuse the old start that we had and plan from it.

auto plan_solution4 = planning_components->plan();
if (plan_solution4)
{
  moveit::core::RobotState robot_state(robot_model_ptr);
  moveit::core::robotStateMsgToRobotState(plan_solution4.start_state, robot_state);

  visual_tools.publishText(text_pose, "Start Pose", rvt::WHITE, rvt::XLARGE);
  visual_tools.publishAxisLabeled(robot_state.getGlobalLinkTransform("panda_link8"), "start_pose");
  visual_tools.publishText(text_pose, "Goal Pose", rvt::WHITE, rvt::XLARGE);
  visual_tools.publishAxisLabeled(robot_start_state->getGlobalLinkTransform("panda_link8"), "target_pose");
  visual_tools.publishTrajectoryLine(plan_solution4.trajectory, joint_model_group_ptr);
  visual_tools.trigger();

  /* Uncomment if you want to execute the plan */
  /* planning_components->execute(); // Execute the plan */
}

Plan #4 visualization:

../../_images/moveitcpp_plan4.png

The Launch File

The entire launch file is here on GitHub. All the code in this tutorial can be run from the moveit_tutorials package that you have as part of your MoveIt setup.

开源反馈

有地方需要改进？请在 GitHub page 新开一个 pull request。