ompl_ros_rigidbodyplanning.cpp

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/* Author: Ioan Sucan */

#include <ompl/base/SpaceInformation.h>
#include <ompl/base/spaces/SE3StateSpace.h>
#include <ompl/geometric/planners/rrt/RRTConnect.h>
#include <ompl/geometric/planners/rrt/RRT.h>
#include <ompl/geometric/SimpleSetup.h>

#include <ompl/config.h>
#include <iostream>

namespace ob = ompl::base;
namespace og = ompl::geometric;

bool isStateValid(const ob::State *state)
{
    // cast the abstract state type to the type we expect
    const auto *se3state = state->as<ob::SE3StateSpace::StateType>();

    // extract the first component of the state and cast it to what we expect
    const auto *pos = se3state->as<ob::RealVectorStateSpace::StateType>(0);

    // extract the second component of the state and cast it to what we expect
    const auto *rot = se3state->as<ob::SO3StateSpace::StateType>(1);

    // check validity of state defined by pos & rot


    // return a value that is always true but uses the two variables we define, so we avoid compiler warnings
    return (const void*)rot != (const void*)pos;
}

void plan()
{
    // construct the state space we are planning in
    auto space(std::make_shared<ob::SE3StateSpace>());

    // set the bounds for the R^3 part of SE(3)
    ob::RealVectorBounds bounds(3);
    bounds.setLow(-1);
    bounds.setHigh(1);

    space->setBounds(bounds);

    // construct an instance of  space information from this state space
    auto si(std::make_shared<ob::SpaceInformation>(space));

    // set state validity checking for this space
    si->setStateValidityChecker(isStateValid);

    // create a random start state
    ob::ScopedState<> start(space);
    start.random();

    // create a random goal state
    ob::ScopedState<> goal(space);
    goal.random();

    // create a problem instance
    auto pdef(std::make_shared<ob::ProblemDefinition>(si));

    // set the start and goal states
    pdef->setStartAndGoalStates(start, goal);

    // create a planner for the defined space0
    auto planner(std::make_shared<og::RRTConnect>(si));

    // set the problem we are trying to solve for the planner
    planner->setProblemDefinition(pdef);

    // perform setup steps for the planner
    planner->setup();


    // // print the settings for this space
    si->printSettings(std::cout);

    // // print the problem settings
    pdef->print(std::cout);

    // attempt to solve the problem within one second of planning time
    ob::PlannerStatus solved = planner->ob::Planner::solve(10.0);

    // if (solved)
    // {
    //     // get the goal representation from the problem definition (not the same as the goal state)
    //     // and inquire about the found path
    //     ob::PathPtr path = pdef->getSolutionPath();
    //     std::cout << "Found solution:" << std::endl;

    //     // print the path to screen
    //     path->print(std::cout);
    // }
    // else
    //     std::cout << "No solution found" << std::endl;
}

void planWithSimpleSetup()
{
    // construct the state space we are planning in
    auto space(std::make_shared<ob::SE3StateSpace>());

    // set the bounds for the R^3 part of SE(3)
    ob::RealVectorBounds bounds(3);
    bounds.setLow(-1);
    bounds.setHigh(1);

    space->setBounds(bounds);

    // define a simple setup class
    og::SimpleSetup ss(space);

    // set state validity checking for this space
    ss.setStateValidityChecker([](const ob::State *state) { return isStateValid(state); });

    // create a random start state
    ob::ScopedState<> start(space);
    start.random();

    // create a random goal state
    ob::ScopedState<> goal(space);
    goal.random();

    // set the start and goal states
    ss.setStartAndGoalStates(start, goal);

    // this call is optional, but we put it in to get more output information
    ss.setup();
    ss.print();

    // attempt to solve the problem within one second of planning time
    ob::PlannerStatus solved = ss.solve(1.0);

    if (solved)
    {
        std::cout << "Found solution:" << std::endl;
        // print the path to screen
        ss.simplifySolution();
        ss.getSolutionPath().print(std::cout);
    }
    else
        std::cout << "No solution found" << std::endl;
}

int main(int argc, char **argv)
{
    // ros::init(argc, argv, "planner");
    // ros::NodeHandle n;
    // ros::Rate loop_rate(10);
    std::cout << "OMPL version: " << OMPL_VERSION << std::endl;
    plan();
    // ros::spin();
    return 0;
}