• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    公众号

C++ planning_scene::PlanningSceneConstPtr类代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了C++中planning_scene::PlanningSceneConstPtr的典型用法代码示例。如果您正苦于以下问题:C++ PlanningSceneConstPtr类的具体用法?C++ PlanningSceneConstPtr怎么用?C++ PlanningSceneConstPtr使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。



在下文中一共展示了PlanningSceneConstPtr类的20个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的C++代码示例。

示例1: planPlace

PlacePlanPtr PickPlace::planPlace(const planning_scene::PlanningSceneConstPtr &planning_scene, const moveit_msgs::PlaceGoal &goal) const
{
  PlacePlanPtr p(new PlacePlan(shared_from_this()));
  if (planning_scene::PlanningScene::isEmpty(goal.planning_options.planning_scene_diff))
    p->plan(planning_scene, goal);
  else
    p->plan(planning_scene->diff(goal.planning_options.planning_scene_diff), goal);

  if (display_computed_motion_plans_)
  {
    const std::vector<pick_place::ManipulationPlanPtr> &success = p->getSuccessfulManipulationPlans();
    if (!success.empty())
      visualizePlan(success.back());
  }

  if (display_grasps_)
  {
    const std::vector<pick_place::ManipulationPlanPtr> &success = p->getSuccessfulManipulationPlans();
    visualizeGrasps(success);
    const std::vector<pick_place::ManipulationPlanPtr> &failed = p->getFailedManipulationPlans();
    visualizeGrasps(failed);
  }

  return p;
}
开发者ID:ehuang3,项目名称:moveit_ros,代码行数:25,代码来源:place.cpp


示例2: countSamplesPerSecond

double constraint_samplers::countSamplesPerSecond(const moveit_msgs::Constraints& constr,
                                                  const planning_scene::PlanningSceneConstPtr& scene,
                                                  const std::string& group)
{
  return countSamplesPerSecond(ConstraintSamplerManager::selectDefaultSampler(scene, group, constr),
                               scene->getCurrentState());
}
开发者ID:ros-planning,项目名称:moveit,代码行数:7,代码来源:constraint_sampler_tools.cpp


示例3: getPlanningContext

  planning_interface::PlanningContextPtr getPlanningContext(const planning_scene::PlanningSceneConstPtr& planning_scene,
                                                            const planning_interface::MotionPlanRequest& req,
                                                            moveit_msgs::MoveItErrorCodes& error_code) const override
  {
    error_code.val = moveit_msgs::MoveItErrorCodes::SUCCESS;

    if (req.group_name.empty())
    {
      ROS_ERROR("No group specified to plan for");
      error_code.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
      return planning_interface::PlanningContextPtr();
    }

    if (!planning_scene)
    {
      ROS_ERROR("No planning scene supplied as input");
      error_code.val = moveit_msgs::MoveItErrorCodes::FAILURE;
      return planning_interface::PlanningContextPtr();
    }

    // create PlanningScene using hybrid collision detector
    planning_scene::PlanningScenePtr ps = planning_scene->diff();
    ps->setActiveCollisionDetector(collision_detection::CollisionDetectorAllocatorHybrid::create(), true);

    // retrieve and configure existing context
    const CHOMPPlanningContextPtr& context = planning_contexts_.at(req.group_name);
    context->setPlanningScene(ps);
    context->setMotionPlanRequest(req);
    error_code.val = moveit_msgs::MoveItErrorCodes::SUCCESS;
    return context;
  }
开发者ID:ros-planning,项目名称:moveit,代码行数:31,代码来源:chomp_plugin.cpp


示例4: displayPlannerData

  void displayPlannerData(const planning_scene::PlanningSceneConstPtr& planning_scene,
                          const std::string &link_name) const
  {
std::cout << "displayPlannerData called ... " << std::endl;
    const ompl_interface::ModelBasedPlanningContextPtr &pc = ompl_interface_->getLastPlanningContext();
    if (pc)
    {
      ompl::base::PlannerData pd(pc->getOMPLSimpleSetup().getSpaceInformation());
      pc->getOMPLSimpleSetup().getPlannerData(pd);
      robot_state::RobotState kstate = planning_scene->getCurrentState();  
      visualization_msgs::MarkerArray arr; 
      std_msgs::ColorRGBA color;
      color.r = 1.0f;
      color.g = 0.25f;
      color.b = 1.0f;
      color.a = 1.0f;
      unsigned int nv = pd.numVertices();
      for (unsigned int i = 0 ; i < nv ; ++i)
      {
        pc->getOMPLStateSpace()->copyToRobotState(kstate, pd.getVertex(i).getState());
        kstate.getJointStateGroup(pc->getJointModelGroupName())->updateLinkTransforms();
        const Eigen::Vector3d &pos = kstate.getLinkState(link_name)->getGlobalLinkTransform().translation();
	
        visualization_msgs::Marker mk;
        mk.header.stamp = ros::Time::now();
        mk.header.frame_id = planning_scene->getPlanningFrame();
        mk.ns = "planner_data";
        mk.id = i;
        mk.type = visualization_msgs::Marker::SPHERE;
        mk.action = visualization_msgs::Marker::ADD;
        mk.pose.position.x = pos.x();
        mk.pose.position.y = pos.y();
        mk.pose.position.z = pos.z();
        mk.pose.orientation.w = 1.0;
        mk.scale.x = mk.scale.y = mk.scale.z = 0.025;
        mk.color = color;
        mk.lifetime = ros::Duration(30.0);
        arr.markers.push_back(mk);
      }
      pub_markers_.publish(arr); 
    }
  }
开发者ID:mpomarlan,项目名称:moveit_puzzle_demo,代码行数:42,代码来源:ompl_plugin.cpp


示例5: constructConstraintApproximation

ompl_interface::ConstraintApproximationConstructionResults
ompl_interface::ConstraintsLibrary::addConstraintApproximation(const moveit_msgs::Constraints &constr_sampling, const moveit_msgs::Constraints &constr_hard,
                                                               const std::string &group, const std::string &state_space_parameterization,
                                                               const planning_scene::PlanningSceneConstPtr &scene, unsigned int samples, unsigned int edges_per_sample)
{ 
  ConstraintApproximationConstructionResults res;
  ModelBasedPlanningContextPtr pc = context_manager_.getPlanningContext(group, state_space_parameterization);
  if (pc)
  {                                             
    pc->clear();
    pc->setPlanningScene(scene);
    pc->setCompleteInitialState(scene->getCurrentState());

    std::map<std::string, ConstraintApproximationFactoryPtr>::const_iterator it = constraint_factories_.find(constr_hard.name);
    ConstraintApproximationFactory *fct = NULL;
    ConstraintStateStorageOrderFn order;
    if (it != constraint_factories_.end())
    {
      fct = it->second.get();
      order = fct->getOrderFunction();
    }
    
    ros::WallTime start = ros::WallTime::now();
    ompl::base::StateStoragePtr ss = constructConstraintApproximation(pc, constr_sampling, constr_hard, order, samples, edges_per_sample, res);
    logInform("Spent %lf seconds constructing the database", (ros::WallTime::now() - start).toSec());
    if (ss)
    {
      ConstraintApproximationPtr ca;
      if (fct)
        ca = fct->allocApproximation(context_manager_.getRobotModel(), group, state_space_parameterization, constr_hard, group + "_" + 
                                     boost::posix_time::to_iso_extended_string(boost::posix_time::microsec_clock::universal_time()) + ".ompldb", ss);
      else
        ca.reset(new ConstraintApproximation(context_manager_.getRobotModel(), group, state_space_parameterization, constr_hard, group + "_" + 
                                             boost::posix_time::to_iso_extended_string(boost::posix_time::microsec_clock::universal_time()) + ".ompldb", ss));
      if (ca)
      {
        if (constraint_approximations_.find(ca->getName()) != constraint_approximations_.end())
          logWarn("Overwriting constraint approximation named '%s'", ca->getName().c_str());
        constraint_approximations_[ca->getName()] = ca;
        res.approx = ca;
      }
    }
    else
      logError("Unable to construct constraint approximation for group '%s'", group.c_str());
  }
  return res;
}
开发者ID:mpomarlan,项目名称:moveit_puzzle_demo,代码行数:47,代码来源:constraints_library.cpp


示例6: renderPlanningScene

void PlanningSceneRender::renderPlanningScene(const planning_scene::PlanningSceneConstPtr &scene,
                                              const rviz::Color &default_env_color,
                                              const rviz::Color &default_attached_color,
                                              OctreeVoxelRenderMode octree_voxel_rendering,
                                              OctreeVoxelColorMode octree_color_mode,
                                              float default_scene_alpha)
{
  if (!scene)
    return;

  clear();
  
  if (scene_robot_)
  {
    robot_state::RobotState *rs = new robot_state::RobotState(scene->getCurrentState());
    rs->update();
    
    std_msgs::ColorRGBA color;
    color.r = default_attached_color.r_;
    color.g = default_attached_color.g_;
    color.b = default_attached_color.b_;
    color.a = 1.0f;
    planning_scene::ObjectColorMap color_map;
    scene->getKnownObjectColors(color_map);
    scene_robot_->update(robot_state::RobotStateConstPtr(rs), color, color_map);
  }

  const std::vector<std::string> &ids = scene->getWorld()->getObjectIds();
  for (std::size_t i = 0 ; i < ids.size() ; ++i)
  {
    if (show_object_.find(ids[i]) != show_object_.end() && !show_object_[ids[i]])
      continue;

    collision_detection::CollisionWorld::ObjectConstPtr o = scene->getWorld()->getObject(ids[i]);
    rviz::Color color = default_env_color;
    float alpha = default_scene_alpha;
    if (scene->hasObjectColor(ids[i]))
    {
      const std_msgs::ColorRGBA &c = scene->getObjectColor(ids[i]);
      color.r_ = c.r; color.g_ = c.g; color.b_ = c.b;
      alpha = c.a;
    }
    for (std::size_t j = 0 ; j < o->shapes_.size() ; ++j)
      render_shapes_->renderShape(planning_scene_geometry_node_, o->shapes_[j].get(), o->shape_poses_[j],
                                  octree_voxel_rendering, octree_color_mode, color, alpha);
  }
}
开发者ID:ehuang3,项目名称:moveit_ros,代码行数:47,代码来源:planning_scene_render.cpp


示例7: ca

ompl_interface::ConstraintApproximationConstructionResults
ompl_interface::ConstraintsLibrary::addConstraintApproximation(
    const moveit_msgs::Constraints& constr_sampling, const moveit_msgs::Constraints& constr_hard,
    const std::string& group, const planning_scene::PlanningSceneConstPtr& scene,
    const ConstraintApproximationConstructionOptions& options)
{
  ConstraintApproximationConstructionResults res;
  ModelBasedPlanningContextPtr pc = context_manager_.getPlanningContext(group, options.state_space_parameterization);
  if (pc)
  {
    pc->clear();
    pc->setPlanningScene(scene);
    pc->setCompleteInitialState(scene->getCurrentState());

    ros::WallTime start = ros::WallTime::now();
    ompl::base::StateStoragePtr ss = constructConstraintApproximation(pc, constr_sampling, constr_hard, options, res);
    ROS_INFO_NAMED("constraints_library", "Spent %lf seconds constructing the database",
                   (ros::WallTime::now() - start).toSec());
    if (ss)
    {
      ConstraintApproximationPtr ca(new ConstraintApproximation(
          group, options.state_space_parameterization, options.explicit_motions, constr_hard,
          group + "_" + boost::posix_time::to_iso_extended_string(boost::posix_time::microsec_clock::universal_time()) +
              ".ompldb",
          ss, res.milestones));
      if (constraint_approximations_.find(ca->getName()) != constraint_approximations_.end())
        ROS_WARN_NAMED("constraints_library", "Overwriting constraint approximation named '%s'", ca->getName().c_str());
      constraint_approximations_[ca->getName()] = ca;
      res.approx = ca;
    }
    else
      ROS_ERROR_NAMED("constraints_library", "Unable to construct constraint approximation for group '%s'",
                      group.c_str());
  }
  return res;
}
开发者ID:ros-planning,项目名称:moveit,代码行数:36,代码来源:constraints_library.cpp


示例8: plan

bool PickPlan::plan(const planning_scene::PlanningSceneConstPtr &planning_scene, const moveit_msgs::PickupGoal &goal)
{
  double timeout = goal.allowed_planning_time;
  ros::WallTime endtime = ros::WallTime::now() + ros::WallDuration(timeout);

  std::string planning_group = goal.group_name;
  std::string end_effector = goal.end_effector;
  if (end_effector.empty() && !planning_group.empty())
  {
    const robot_model::JointModelGroup *jmg = planning_scene->getRobotModel()->getJointModelGroup(planning_group);
    if (!jmg)
    {
      error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
      return false;
    }
    const std::vector<std::string> &eefs = jmg->getAttachedEndEffectorNames();
    if (!eefs.empty())
    {
      end_effector = eefs.front();
      if (eefs.size() > 1)
        ROS_WARN_STREAM_NAMED("manipulation", "Choice of end-effector for group '" << planning_group << "' is ambiguous. Assuming '" << end_effector << "'");
    }
  }
  else
    if (!end_effector.empty() && planning_group.empty())
    {
      const robot_model::JointModelGroup *jmg = planning_scene->getRobotModel()->getEndEffector(end_effector);
      if (!jmg)
      {
        error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
        return false;
      }
      planning_group = jmg->getEndEffectorParentGroup().first;
      if (planning_group.empty())
      {   
        ROS_ERROR_STREAM_NAMED("manipulation", "No parent group to plan in was identified based on end-effector '" << end_effector << "'. Please define a parent group in the SRDF.");
        error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
        return false;
      }
      else
        ROS_INFO_STREAM_NAMED("manipulation", "Assuming the planning group for end effector '" << end_effector << "' is '" << planning_group << "'");
    }
  const robot_model::JointModelGroup *eef = end_effector.empty() ? NULL : planning_scene->getRobotModel()->getEndEffector(end_effector);
  if (!eef)
  {
    ROS_ERROR_NAMED("manipulation", "No end-effector specified for pick action");
    error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
    return false;
  }
  const std::string &ik_link = eef->getEndEffectorParentGroup().second;

  ros::WallTime start_time = ros::WallTime::now();

  // construct common data for possible manipulation plans
  ManipulationPlanSharedDataPtr plan_data(new ManipulationPlanSharedData());
  ManipulationPlanSharedDataConstPtr const_plan_data = plan_data;
  plan_data->planning_group_ = planning_scene->getRobotModel()->getJointModelGroup(planning_group);
  plan_data->end_effector_group_ = eef;
  plan_data->ik_link_ = planning_scene->getRobotModel()->getLinkModel(ik_link);
  plan_data->timeout_ = endtime;
  plan_data->path_constraints_ = goal.path_constraints;
  plan_data->planner_id_ = goal.planner_id;
  plan_data->minimize_object_distance_ = goal.minimize_object_distance;
  plan_data->max_goal_sampling_attempts_ = std::max(2u, plan_data->planning_group_->getDefaultIKAttempts());
  moveit_msgs::AttachedCollisionObject &attach_object_msg = plan_data->diff_attached_object_;

  // construct the attached object message that will change the world to what it would become after a pick
  attach_object_msg.link_name = ik_link;
  attach_object_msg.object.id = goal.target_name;
  attach_object_msg.object.operation = moveit_msgs::CollisionObject::ADD;
  attach_object_msg.touch_links = goal.attached_object_touch_links.empty() ? eef->getLinkModelNames() : goal.attached_object_touch_links;
  collision_detection::AllowedCollisionMatrixPtr approach_grasp_acm(new collision_detection::AllowedCollisionMatrix(planning_scene->getAllowedCollisionMatrix()));

  // we are allowed to touch the target object
  approach_grasp_acm->setEntry(goal.target_name, attach_object_msg.touch_links, true);
  // we are allowed to touch certain other objects with the gripper
  approach_grasp_acm->setEntry(eef->getLinkModelNames(), goal.allowed_touch_objects, true);
  if (!goal.support_surface_name.empty())
  {
    // we are allowed to have contact between the target object and the support surface before the grasp
    approach_grasp_acm->setEntry(goal.support_surface_name, goal.target_name, true);

    // optionally, it may be allowed to touch the support surface with the gripper
    if (goal.allow_gripper_support_collision)
      approach_grasp_acm->setEntry(goal.support_surface_name, eef->getLinkModelNames(), true);
  }

  // configure the manipulation pipeline
  pipeline_.reset();
  ManipulationStagePtr stage1(new ReachableAndValidPoseFilter(planning_scene, approach_grasp_acm, pick_place_->getConstraintsSamplerManager()));
  ManipulationStagePtr stage2(new ApproachAndTranslateStage(planning_scene, approach_grasp_acm));
  ManipulationStagePtr stage3(new PlanStage(planning_scene, pick_place_->getPlanningPipeline()));
  pipeline_.addStage(stage1).addStage(stage2).addStage(stage3);

  initialize();
  pipeline_.start();

  // order the grasps by quality
  std::vector<std::size_t> grasp_order(goal.possible_grasps.size());
  for (std::size_t i = 0 ; i < goal.possible_grasps.size() ; ++i)
//.........这里部分代码省略.........
开发者ID:ehuang3,项目名称:moveit_ros,代码行数:101,代码来源:pick.cpp


示例9: ConstraintSamplerPtr

constraint_samplers::ConstraintSamplerPtr constraint_samplers::ConstraintSamplerManager::selectDefaultSampler(const planning_scene::PlanningSceneConstPtr &scene,
                                                                                                              const std::string &group_name,
                                                                                                              const moveit_msgs::Constraints &constr)
{
  const robot_model::JointModelGroup *jmg = scene->getRobotModel()->getJointModelGroup(group_name);
  if (!jmg)
    return constraint_samplers::ConstraintSamplerPtr();
  std::stringstream ss; ss << constr;
  logDebug("Attempting to construct constrained state sampler for group '%s', using constraints:\n%s.\n", jmg->getName().c_str(), ss.str().c_str());
  
  ConstraintSamplerPtr joint_sampler;
  // if there are joint constraints, we could possibly get a sampler from those
  if (!constr.joint_constraints.empty())
  {    
    logDebug("There are joint constraints specified. Attempting to construct a JointConstraintSampler for group '%s'", jmg->getName().c_str());

    std::map<std::string, bool> joint_coverage;
    for(std::size_t i = 0; i < jmg->getVariableNames().size() ; ++i)
      joint_coverage[jmg->getVariableNames()[i]] = false;
    
    // construct the constraints
    std::vector<kinematic_constraints::JointConstraint> jc;
    for (std::size_t i = 0 ; i < constr.joint_constraints.size() ; ++i)
    {
      kinematic_constraints::JointConstraint j(scene->getRobotModel(), scene->getTransforms());
      if (j.configure(constr.joint_constraints[i]))
      {
        if (joint_coverage.find(j.getJointVariableName()) != joint_coverage.end())
        {
          joint_coverage[j.getJointVariableName()] = true;
          jc.push_back(j);
        }
      }
    }

    bool full_coverage = true;
    for (std::map<std::string, bool>::iterator it = joint_coverage.begin(); it != joint_coverage.end(); ++it) 
      if (!it->second) 
      {
        full_coverage = false;
        break;
      }
    
    // if we have constrained every joint, then we just use a sampler using these constraints
    if (full_coverage)
    {
      boost::shared_ptr<JointConstraintSampler> sampler(new JointConstraintSampler(scene, jmg->getName()));
      if (sampler->configure(jc))
      {
        logDebug("Allocated a sampler satisfying joint constraints for group '%s'", jmg->getName().c_str());
        return sampler;
      }
    }
    else
      // if a smaller set of joints has been specified, keep the constraint sampler around, but use it only if no IK sampler has been specified.
      if (!jc.empty())
      {
        boost::shared_ptr<JointConstraintSampler> sampler(new JointConstraintSampler(scene, jmg->getName()));
        if (sampler->configure(jc))
        {
          logDebug("Temporary sampler satisfying joint constraints for group '%s' allocated. Looking for different types of constraints before returning though.", jmg->getName().c_str());
          joint_sampler = sampler;
        }
      }
  }
  
  std::vector<ConstraintSamplerPtr> samplers;
  if (joint_sampler) 
    samplers.push_back(joint_sampler);
  
  // read the ik allocators, if any
  robot_model::SolverAllocatorFn ik_alloc = jmg->getSolverAllocators().first;
  std::map<const robot_model::JointModelGroup*, robot_model::SolverAllocatorFn> ik_subgroup_alloc = jmg->getSolverAllocators().second;
  
  // if we have a means of computing complete states for the group using IK, then we try to see if any IK constraints should be used
  if (ik_alloc)
  {
    logDebug("There is an IK allocator for '%s'. Checking for corresponding position and/or orientation constraints", jmg->getName().c_str());
    
    // keep track of which links we constrained
    std::map<std::string, boost::shared_ptr<IKConstraintSampler> > usedL;
    
    // if we have position and/or orientation constraints on links that we can perform IK for,
    // we will use a sampleable goal region that employs IK to sample goals;
    // if there are multiple constraints for the same link, we keep the one with the smallest 
    // volume for sampling
    for (std::size_t p = 0 ; p < constr.position_constraints.size() ; ++p)
      for (std::size_t o = 0 ; o < constr.orientation_constraints.size() ; ++o)
        if (constr.position_constraints[p].link_name == constr.orientation_constraints[o].link_name)
        {
          boost::shared_ptr<kinematic_constraints::PositionConstraint> pc(new kinematic_constraints::PositionConstraint(scene->getRobotModel(), scene->getTransforms()));
          boost::shared_ptr<kinematic_constraints::OrientationConstraint> oc(new kinematic_constraints::OrientationConstraint(scene->getRobotModel(), scene->getTransforms()));
          if (pc->configure(constr.position_constraints[p]) && oc->configure(constr.orientation_constraints[o]))
          {        
            boost::shared_ptr<IKConstraintSampler> iks(new IKConstraintSampler(scene, jmg->getName()));
            if(iks->configure(IKSamplingPose(pc, oc))) {
              bool use = true;
              if (usedL.find(constr.position_constraints[p].link_name) != usedL.end())
                if (usedL[constr.position_constraints[p].link_name]->getSamplingVolume() < iks->getSamplingVolume())
                  use = false;
//.........这里部分代码省略.........
开发者ID:mpomarlan,项目名称:moveit_puzzle_demo,代码行数:101,代码来源:constraint_sampler_manager.cpp


示例10: solve

bool ChompPlanner::solve(const planning_scene::PlanningSceneConstPtr& planning_scene,
                         const moveit_msgs::GetMotionPlan::Request &req, 
                         const chomp::ChompParameters& params,
                         moveit_msgs::GetMotionPlan::Response &res) const
{
  ros::WallTime start_time = ros::WallTime::now();
  ChompTrajectory trajectory(planning_scene->getRobotModel(),
                             3.0,
                             .03,
                             req.motion_plan_request.group_name);
  jointStateToArray(planning_scene->getRobotModel(),
                    req.motion_plan_request.start_state.joint_state, 
                    req.motion_plan_request.group_name,
                    trajectory.getTrajectoryPoint(0));

  int goal_index = trajectory.getNumPoints()- 1;
  trajectory.getTrajectoryPoint(goal_index) = trajectory.getTrajectoryPoint(0);
  sensor_msgs::JointState js;
  for(unsigned int i = 0; i < req.motion_plan_request.goal_constraints[0].joint_constraints.size(); i++) {
    js.name.push_back(req.motion_plan_request.goal_constraints[0].joint_constraints[i].joint_name);
    js.position.push_back(req.motion_plan_request.goal_constraints[0].joint_constraints[i].position);
    ROS_INFO_STREAM("Setting joint " << req.motion_plan_request.goal_constraints[0].joint_constraints[i].joint_name
                    << " to position " << req.motion_plan_request.goal_constraints[0].joint_constraints[i].position);
  }
  jointStateToArray(planning_scene->getRobotModel(),
                    js, 
                    req.motion_plan_request.group_name, 
                    trajectory.getTrajectoryPoint(goal_index));
  const planning_models::RobotModel::JointModelGroup* model_group = 
    planning_scene->getRobotModel()->getJointModelGroup(req.motion_plan_request.group_name);
  // fix the goal to move the shortest angular distance for wrap-around joints:
  for (size_t i = 0; i < model_group->getJointModels().size(); i++)
  {
    const planning_models::RobotModel::JointModel* model = model_group->getJointModels()[i];
    const planning_models::RobotModel::RevoluteJointModel* revolute_joint = dynamic_cast<const planning_models::RobotModel::RevoluteJointModel*>(model);

    if (revolute_joint != NULL)
    {
      if(revolute_joint->isContinuous())
      {
        double start = (trajectory)(0, i);
        double end = (trajectory)(goal_index, i);
        ROS_INFO_STREAM("Start is " << start << " end " << end << " short " << shortestAngularDistance(start, end));
        (trajectory)(goal_index, i) = start + shortestAngularDistance(start, end);
      }
    }
  }
  
  // fill in an initial quintic spline trajectory
  trajectory.fillInMinJerk();

  // optimize!
  planning_models::RobotState *start_state(planning_scene->getCurrentState());
  planning_models::robotStateMsgToRobotState(*planning_scene->getTransforms(), req.motion_plan_request.start_state, start_state);
    
  ros::WallTime create_time = ros::WallTime::now();
  ChompOptimizer optimizer(&trajectory, 
                           planning_scene, 
                           req.motion_plan_request.group_name,
                           &params,
                           start_state);
  if(!optimizer.isInitialized()) {
    ROS_WARN_STREAM("Could not initialize optimizer");
    res.error_code.val = moveit_msgs::MoveItErrorCodes::PLANNING_FAILED;
    return false;
  }
  ROS_INFO("Optimization took %f sec to create", (ros::WallTime::now() - create_time).toSec());
  ROS_INFO("Optimization took %f sec to create", (ros::WallTime::now() - create_time).toSec());
  optimizer.optimize();
  ROS_INFO("Optimization actually took %f sec to run", (ros::WallTime::now() - create_time).toSec());
  create_time = ros::WallTime::now();
  // assume that the trajectory is now optimized, fill in the output structure:

  ROS_INFO("Output trajectory has %d joints", trajectory.getNumJoints());

  // fill in joint names:
  res.trajectory.joint_trajectory.joint_names.resize(trajectory.getNumJoints());
  for (size_t i = 0; i < model_group->getJointModels().size(); i++)
  {
    res.trajectory.joint_trajectory.joint_names[i] = model_group->getJointModels()[i]->getName();
  }

  res.trajectory.joint_trajectory.header = req.motion_plan_request.start_state.joint_state.header; // @TODO this is probably a hack

  // fill in the entire trajectory
  res.trajectory.joint_trajectory.points.resize(trajectory.getNumPoints());
  for (int i=0; i < trajectory.getNumPoints(); i++)
  {
    res.trajectory.joint_trajectory.points[i].positions.resize(trajectory.getNumJoints());
    for (size_t j=0; j < res.trajectory.joint_trajectory.points[i].positions.size(); j++)
    {
      res.trajectory.joint_trajectory.points[i].positions[j] = trajectory.getTrajectoryPoint(i)(j);
      if(i == trajectory.getNumPoints()-1) {
        ROS_INFO_STREAM("Joint " << j << " " << res.trajectory.joint_trajectory.points[i].positions[j]);
      }
    }
    // Setting invalid timestamps.
    // Further filtering is required to set valid timestamps accounting for velocity and acceleration constraints.
    res.trajectory.joint_trajectory.points[i].time_from_start = ros::Duration(0.0);
  }
//.........这里部分代码省略.........
开发者ID:mpomarlan,项目名称:moveit_puzzle_demo,代码行数:101,代码来源:chomp_planner.cpp


示例11: adaptAndPlan

    virtual bool adaptAndPlan(const PlannerFn &planner,
                              const planning_scene::PlanningSceneConstPtr& planning_scene,
                              const planning_interface::MotionPlanRequest &req,
                              planning_interface::MotionPlanResponse &res,
                              std::vector<std::size_t> &added_path_index) const
    {
        ROS_DEBUG("Running '%s'", getDescription().c_str());

        // get the specified start state
        robot_state::RobotState start_state = planning_scene->getCurrentState();
        robot_state::robotStateMsgToRobotState(planning_scene->getTransforms(), req.start_state, start_state);

        collision_detection::CollisionRequest creq;
        creq.group_name = req.group_name;
        collision_detection::CollisionResult cres;
        planning_scene->checkCollision(creq, cres, start_state);
        if (cres.collision)
        {
            // Rerun in verbose mode
            collision_detection::CollisionRequest vcreq = creq;
            collision_detection::CollisionResult vcres;
            vcreq.verbose = true;
            planning_scene->checkCollision(vcreq, vcres, start_state);

            if (creq.group_name.empty())
                ROS_INFO("Start state appears to be in collision");
            else
                ROS_INFO_STREAM("Start state appears to be in collision with respect to group " << creq.group_name);

            robot_state::RobotStatePtr prefix_state(new robot_state::RobotState(start_state));
            random_numbers::RandomNumberGenerator &rng = prefix_state->getRandomNumberGenerator();

            const std::vector<const robot_model::JointModel*> &jmodels =
                planning_scene->getRobotModel()->hasJointModelGroup(req.group_name) ?
                planning_scene->getRobotModel()->getJointModelGroup(req.group_name)->getJointModels() :
                planning_scene->getRobotModel()->getJointModels();

            bool found = false;
            for (int c = 0 ; !found && c < sampling_attempts_ ; ++c)
            {
                for (std::size_t i = 0 ; !found && i < jmodels.size() ; ++i)
                {
                    std::vector<double> sampled_variable_values(jmodels[i]->getVariableCount());
                    const double *original_values = prefix_state->getJointPositions(jmodels[i]);
                    jmodels[i]->getVariableRandomPositionsNearBy(rng, &sampled_variable_values[0], original_values, jmodels[i]->getMaximumExtent() * jiggle_fraction_);
                    start_state.setJointPositions(jmodels[i], sampled_variable_values);
                    collision_detection::CollisionResult cres;
                    planning_scene->checkCollision(creq, cres, start_state);
                    if (!cres.collision)
                    {
                        found = true;
                        ROS_INFO("Found a valid state near the start state at distance %lf after %d attempts", prefix_state->distance(start_state), c);
                    }
                }
            }

            if (found)
            {
                planning_interface::MotionPlanRequest req2 = req;
                robot_state::robotStateToRobotStateMsg(start_state, req2.start_state);
                bool solved = planner(planning_scene, req2, res);
                if (solved && !res.trajectory_->empty())
                {
                    // heuristically decide a duration offset for the trajectory (induced by the additional point added as a prefix to the computed trajectory)
                    res.trajectory_->setWayPointDurationFromPrevious(0, std::min(max_dt_offset_, res.trajectory_->getAverageSegmentDuration()));
                    res.trajectory_->addPrefixWayPoint(prefix_state, 0.0);
                    // we add a prefix point, so we need to bump any previously added index positions
                    for (std::size_t i = 0 ; i < added_path_index.size() ; ++i)
                        added_path_index[i]++;
                    added_path_index.push_back(0);
                }
                return solved;
            }
            else
            {
                ROS_WARN("Unable to find a valid state nearby the start state (using jiggle fraction of %lf and %u sampling attempts). Passing the original planning request to the planner.",
                         jiggle_fraction_, sampling_attempts_);
                return planner(planning_scene, req, res);
            }
        }
        else
        {
            if (creq.group_name.empty())
                ROS_DEBUG("Start state is valid");
            else
                ROS_DEBUG_STREAM("Start state is valid with respect to group " << creq.group_name);
            return planner(planning_scene, req, res);
        }
    }
开发者ID:kunal15595,项目名称:ros,代码行数:89,代码来源:fix_start_state_collision.cpp


示例12: computeDefaultCollisions

// ******************************************************************************************
// Generates an adjacency list of links that are always and never in collision, to speed up collision detection
// ******************************************************************************************
LinkPairMap
computeDefaultCollisions(const planning_scene::PlanningSceneConstPtr &parent_scene, unsigned int * progress,
                         const bool include_never_colliding, const unsigned int num_trials, const double min_collision_fraction,
                         const bool verbose)
{
  // Create new instance of planning scene using pointer
  planning_scene::PlanningScenePtr scene = parent_scene->diff();

  // Map of disabled collisions that contains a link as a key and an ordered list of links that are connected.
  LinkPairMap link_pairs;

  // Track unique edges that have been found to be in collision in some state
  StringPairSet links_seen_colliding;

  // LinkGraph is a custom type of a map with a LinkModel as key and a set of LinkModels as second
  LinkGraph link_graph;

  //ROS_INFO_STREAM("Initial allowed Collision Matrix Size = " << scene.getAllowedCollisions().getSize() );

  // 0. GENERATE ALL POSSIBLE LINK PAIRS -------------------------------------------------------------
  // Generate a list of unique link pairs for all links with geometry. Order pairs alphabetically.
  // There should be n choose 2 pairs
  computeLinkPairs( *scene, link_pairs );
  *progress = 1;

  // 1. FIND CONNECTING LINKS ------------------------------------------------------------------------
  // For each link, compute the set of other links it connects to via a single joint (adjacent links)
  // or via a chain of joints with intermediate links with no geometry (like a socket joint)

  // Create Connection Graph
  computeConnectionGraph(scene->getRobotModel()->getRootLink(), link_graph);
  *progress = 2; // Progress bar feedback

  // 2. DISABLE ALL ADJACENT LINK COLLISIONS ---------------------------------------------------------
  // if 2 links are adjacent, or adjacent with a zero-shape between them, disable collision checking for them
  unsigned int num_adjacent = disableAdjacentLinks( *scene, link_graph, link_pairs);
  *progress = 4; // Progress bar feedback

  // 3. INITIAL CONTACTS TO CONSIDER GUESS -----------------------------------------------------------
  // Create collision detection request object
  collision_detection::CollisionRequest req;
  req.contacts = true;
  // max number of contacts to compute. initial guess is number of links on robot
  req.max_contacts = int(link_graph.size());
  req.max_contacts_per_pair = 1;
  req.verbose = false;

  // 4. DISABLE "DEFAULT" COLLISIONS --------------------------------------------------------
  // Disable all collision checks that occur when the robot is started in its default state
  unsigned int num_default = disableDefaultCollisions(*scene, link_pairs, req);
  *progress = 6; // Progress bar feedback

  // 5. ALWAYS IN COLLISION --------------------------------------------------------------------
  // Compute the links that are always in collision
  unsigned int num_always = disableAlwaysInCollision(*scene, link_pairs, req, links_seen_colliding, min_collision_fraction);
  //ROS_INFO("Links seen colliding total = %d", int(links_seen_colliding.size()));
  *progress = 8; // Progress bar feedback

  // 6. NEVER IN COLLISION -------------------------------------------------------------------
  // Get the pairs of links that are never in collision
  unsigned int num_never = 0;
  if (include_never_colliding) // option of function
  {
    num_never = disableNeverInCollision(num_trials, *scene, link_pairs, req, links_seen_colliding, progress);
  }

  //ROS_INFO("Link pairs seen colliding ever: %d", int(links_seen_colliding.size()));

  if(verbose)
  {
    // Calculate number of disabled links:
    unsigned int num_disabled = 0;
    for ( LinkPairMap::const_iterator pair_it = link_pairs.begin() ; pair_it != link_pairs.end() ; ++pair_it)
    {
      if( pair_it->second.disable_check ) // has a reason to be disabled
        ++num_disabled;
    }

    ROS_INFO("-------------------------------------------------------------------------------");
    ROS_INFO("Statistics:");
    unsigned int num_links = int(link_graph.size());
    double num_possible = boost::math::binomial_coefficient<double>(num_links, 2); // n choose 2
    unsigned int num_sometimes = num_possible - num_disabled;

    ROS_INFO("%6d : %s",   num_links, "Total Links");
    ROS_INFO("%6.0f : %s", num_possible, "Total possible collisions");
    ROS_INFO("%6d : %s",   num_always, "Always in collision");
    ROS_INFO("%6d : %s",   num_never, "Never in collision");
    ROS_INFO("%6d : %s",   num_default, "Default in collision");
    ROS_INFO("%6d : %s",   num_adjacent, "Adjacent links disabled");
    ROS_INFO("%6d : %s",   num_sometimes, "Sometimes in collision");
    ROS_INFO("%6d : %s",   num_disabled, "TOTAL DISABLED");

    /*ROS_INFO("Copy to Spreadsheet:");
    ROS_INFO_STREAM(num_links << "\t" << num_possible << "\t" << num_always << "\t" << num_never
                    << "\t" << num_default << "\t" << num_adjacent << "\t" << num_sometimes
                    << "\t" << num_disabled);
//.........这里部分代码省略.........
开发者ID:ksenglee,项目名称:ros,代码行数:101,代码来源:compute_default_collisions.cpp


示例13: plan

bool PlacePlan::plan(const planning_scene::PlanningSceneConstPtr &planning_scene, const moveit_msgs::PlaceGoal &goal)
{
  double timeout = goal.allowed_planning_time;
  ros::WallTime endtime = ros::WallTime::now() + ros::WallDuration(timeout);
  std::string attached_object_name = goal.attached_object_name;
  const robot_model::JointModelGroup *jmg = NULL;
  const robot_model::JointModelGroup *eef = NULL;

  // if the group specified is actually an end-effector, we use it as such
  if (planning_scene->getRobotModel()->hasEndEffector(goal.group_name))
  {
    eef = planning_scene->getRobotModel()->getEndEffector(goal.group_name);
    if (eef)
    { // if we correctly found the eef, then we try to find out what the planning group is
      const std::string &eef_parent = eef->getEndEffectorParentGroup().first;
      if (eef_parent.empty())
      {
        ROS_ERROR_STREAM_NAMED("manipulation", "No parent group to plan in was identified based on end-effector '" << goal.group_name << "'. Please define a parent group in the SRDF.");
        error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
        return false;
      }
      else
        jmg = planning_scene->getRobotModel()->getJointModelGroup(eef_parent);
    }
  }
  else
  {
    // if a group name was specified, try to use it
    jmg = goal.group_name.empty() ? NULL : planning_scene->getRobotModel()->getJointModelGroup(goal.group_name);
    if (jmg)
    {
      // we also try to find the corresponding eef
      const std::vector<std::string> &eef_names = jmg->getAttachedEndEffectorNames();  
      if (eef_names.empty())
      {
        ROS_ERROR_STREAM_NAMED("manipulation", "There are no end-effectors specified for group '" << goal.group_name << "'");
        error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
        return false;
      }
      else
        // check to see if there is an end effector that has attached objects associaded, so we can complete the place
        for (std::size_t i = 0 ; i < eef_names.size() ; ++i) 
        {
          std::vector<const robot_state::AttachedBody*> attached_bodies;
          const robot_model::JointModelGroup *eg = planning_scene->getRobotModel()->getEndEffector(eef_names[i]);
          if (eg)
          {
            // see if there are objects attached to links in the eef
            planning_scene->getCurrentState().getAttachedBodies(attached_bodies, eg);
            
            // is is often possible that the objects are attached to the same link that the eef itself is attached,
            // so we check for attached bodies there as well
            const robot_model::LinkModel *attached_link_model = planning_scene->getRobotModel()->getLinkModel(eg->getEndEffectorParentGroup().second);
            if (attached_link_model)
            {
              std::vector<const robot_state::AttachedBody*> attached_bodies2;
              planning_scene->getCurrentState().getAttachedBodies(attached_bodies2, attached_link_model);
              attached_bodies.insert(attached_bodies.end(), attached_bodies2.begin(), attached_bodies2.end());
            }
          }
          
          // if this end effector has attached objects, we go on
          if (!attached_bodies.empty())
          {
            // if the user specified the name of the attached object to place, we check that indeed
            // the group contains this attachd body
            if (!attached_object_name.empty())
            {
              bool found = false;
              for (std::size_t j = 0 ; j < attached_bodies.size() ; ++j)
                if (attached_bodies[j]->getName() == attached_object_name)
                {
                  found = true;
                  break;
                }
              // if the attached body this group has is not the same as the one specified,
              // we cannot use this eef
              if (!found)
                continue;
            }
            
            // if we previoulsy have set the eef it means we have more options we could use, so things are ambiguous
            if (eef)
            {
              ROS_ERROR_STREAM_NAMED("manipulation", "There are multiple end-effectors for group '" << goal.group_name <<
                                     "' that are currently holding objects. It is ambiguous which end-effector to use. Please specify it explicitly.");
              error_code_.val = moveit_msgs::MoveItErrorCodes::INVALID_GROUP_NAME;
              return false;
            }
            // set the end effector (this was initialized to NULL above)
            eef = planning_scene->getRobotModel()->getEndEffector(eef_names[i]);
          }
        }
    }
  }
  
  // if we know the attached object, but not the eef, we can try to identify that
  if (!attached_object_name.empty() && !eef)
  {
    const robot_state::AttachedBody *attached_body = planning_scene->getCurrentState().getAttachedBody(attached_object_name);
//.........这里部分代码省略.........
开发者ID:ehuang3,项目名称:moveit_ros,代码行数:101,代码来源:place.cpp


示例14: solve

bool ChompPlanner::solve(const planning_scene::PlanningSceneConstPtr& planning_scene,
                         const moveit_msgs::MotionPlanRequest& req, const chomp::ChompParameters& params,
                         moveit_msgs::MotionPlanDetailedResponse& res) const
{
  if (!planning_scene)
  {
    ROS_ERROR_STREAM_NAMED("chomp_planner", "No planning scene initialized.");
    res.error_code.val = moveit_msgs::MoveItErrorCodes::FAILURE;
    return false;
  }

  if (req.start_state.joint_state.position.empty())
  {
    ROS_ERROR_STREAM_NAMED(&q 

鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
上一篇:
C++ plasma::DataEngine类代码示例发布时间:2022-05-31
下一篇:
C++ http::ResponseWriter类代码示例发布时间:2022-05-31
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap