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...al_trajectory_filters/include/industrial_trajectory_filters/smoothing_trajectory_filter.h
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/********************************************************************* | ||
* Software License Agreement (BSD License) | ||
* | ||
* Copyright (c) 2014, Southwest Research Institute | ||
* All rights reserved. | ||
* | ||
* Redistribution and use in source and binary forms, with or without | ||
* modification, are permitted provided that the following conditions | ||
* are met: | ||
* | ||
* * Redistributions of source code must retain the above copyright | ||
* notice, this list of conditions and the following disclaimer. | ||
* * Redistributions in binary form must reproduce the above | ||
* copyright notice, this list of conditions and the following | ||
* disclaimer in the documentation and/or other materials provided | ||
* with the distribution. | ||
* * Neither the name of Willow Garage nor the names of its | ||
* contributors may be used to endorse or promote products derived | ||
* from this software without specific prior written permission. | ||
* | ||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | ||
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | ||
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS | ||
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE | ||
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, | ||
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, | ||
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | ||
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | ||
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN | ||
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | ||
* POSSIBILITY OF SUCH DAMAGE. | ||
*********************************************************************/ | ||
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/* Author: Chris Lewis */ | ||
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#ifndef MOVEIT_TRAJECTORY_PROCESSING_SMOOTHING_TRAJECTORY_FILTER_ | ||
#define MOVEIT_TRAJECTORY_PROCESSING_SMOOTHING_TRAJECTORY_FILTER_ | ||
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#include <moveit/robot_trajectory/robot_trajectory.h> | ||
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namespace industrial_trajectory_filters | ||
{ | ||
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/*! \brief This class filters the trajectory using a Finite Impluse Response filter */ | ||
class SmoothingTrajectoryFilter | ||
{ | ||
public: | ||
/*! \brief Constructor */ | ||
SmoothingTrajectoryFilter(); | ||
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/*! \brief Destructor */ | ||
~SmoothingTrajectoryFilter(); | ||
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/*! \brief Constructor | ||
* @param coef a vector of Smoothing coeficients with an odd number of values | ||
* @return true if the number of coeficients is odd, otherwise, false. All smoothing filters have odd number of coef | ||
*/ | ||
bool init(std::vector<double> &coef); | ||
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/* \brief action of filter depends on the coefficients, intended to be a low pass filter | ||
* @param rob_trajectory A robot_trajectory::RobotTrajectory to be filtered | ||
*/ | ||
bool applyFilter(robot_trajectory::RobotTrajectory& rob_trajectory) const; | ||
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private: | ||
double gain_; /*!< gain_ is the sum of the coeficients to achieve unity gain overall */ | ||
int num_coef_; /*< the number of coefficients */ | ||
std::vector<double> coef_; /*!< Vector of coefficients */ | ||
bool initialized_; /*!< was the init() function called sucessfully? */ | ||
}; | ||
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} | ||
#endif |
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141
industrial_trajectory_filters/src/add_smoothing_filter.cpp
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/********************************************************************* | ||
* Software License Agreement (BSD License) | ||
* | ||
* Copyright (c) 2014, Southwest Research Institute | ||
* All rights reserved. | ||
* | ||
* Redistribution and use in source and binary forms, with or without | ||
* modification, are permitted provided that the following conditions | ||
* are met: | ||
* | ||
* * Redistributions of source code must retain the above copyright | ||
* notice, this list of conditions and the following disclaimer. | ||
* * Redistributions in binary form must reproduce the above | ||
* copyright notice, this list of conditions and the following | ||
* disclaimer in the documentation and/or other materials provided | ||
* with the distribution. | ||
* * Neither the name of Southwest Research Institute nor the names of its | ||
* contributors may be used to endorse or promote products derived | ||
* from this software without specific prior written permission. | ||
* | ||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | ||
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | ||
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS | ||
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE | ||
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, | ||
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, | ||
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | ||
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | ||
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN | ||
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | ||
* POSSIBILITY OF SUCH DAMAGE. | ||
*********************************************************************/ | ||
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/* Author: Chris Lewis */ | ||
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#include <moveit/planning_request_adapter/planning_request_adapter.h> | ||
#include <class_loader/class_loader.h> | ||
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#include <industrial_trajectory_filters/smoothing_trajectory_filter.h> | ||
#include <ros/ros.h> // required for NodeHandle | ||
#include <ros/console.h> | ||
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namespace industrial_trajectory_filters | ||
{ | ||
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class AddSmoothingFilter : public planning_request_adapter::PlanningRequestAdapter | ||
{ | ||
public: | ||
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static const std::string FILTER_PARAMETER_NAME_; // base name for filter parameters | ||
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/*! \brief Constructor AddSmoothingFilter is a planning request adapter plugin which post-processes | ||
* The robot's trajectory to round out corners | ||
* The filter name and then its coefficients are obtained from the ROS parameter server | ||
*/ | ||
AddSmoothingFilter() : planning_request_adapter::PlanningRequestAdapter(), nh_("~") | ||
{ | ||
int num_coef; | ||
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// set of default filter coefficients in case paramter, or its associated file, or its syntax is wrong | ||
filter_coef_.push_back(0.25); | ||
filter_coef_.push_back(0.5); | ||
filter_coef_.push_back(1.0); | ||
filter_coef_.push_back(0.5); | ||
filter_coef_.push_back(0.25); | ||
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// see if a new set of filter parameters is on the parameter server, if so, install them | ||
if (!nh_.getParam(FILTER_PARAMETER_NAME_, filter_name_)){ | ||
ROS_INFO_STREAM("Param '" << FILTER_PARAMETER_NAME_ << "' was not set. Using default filter values " ); | ||
} | ||
else{ // base filter name exists | ||
std::vector<double> temp_coef; | ||
nh_.getParam(filter_name_.c_str(),temp_coef); // no need to check for success | ||
if(temp_coef.size()%2 == 1 && temp_coef.size()>2){ // need to have odd number of coefficients greater than 2 | ||
filter_coef_.clear(); | ||
for(int i=0; i< (int) temp_coef.size(); i++){ // install the filter coefficients | ||
filter_coef_.push_back(temp_coef[i]); | ||
} | ||
} | ||
else{ | ||
ROS_INFO_STREAM("Could not read filter, using default filter coefficients"); | ||
} | ||
} | ||
if(!smoothing_filter_.init(filter_coef_)) | ||
ROS_ERROR("Initialization error on smoothing filter. Requires an odd number of coeficients"); | ||
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}; | ||
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/*! \brief Destructor */ | ||
~AddSmoothingFilter(){ }; | ||
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/*! \brief Returns a short description of this plugin */ | ||
virtual std::string getDescription() const { return "Add Smoothing Trajectory Filter"; } | ||
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/*! \brief The work hourse of planning request adapters | ||
* \param planner A function called somewhere within this subroutine | ||
* \param planning_scene an object describing the objects and kinematics | ||
* \param req the request, includes the starting config, the goal, constraints, etc | ||
* \param res the response, includes the robot trajectory and other info | ||
* \param added_path_index, a index of the points added by this adapter, which in this case will be empty | ||
*/ | ||
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 | ||
{ | ||
// do anything prior to calling the planner here | ||
// .... | ||
// IN this case nothing was done | ||
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// call the nested planner or adapter | ||
bool result = planner(planning_scene, req, res); | ||
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// do anything after calling the nested planner or adapters here | ||
if (result && res.trajectory_) // successful plan | ||
{ | ||
ROS_DEBUG("Running '%s'", getDescription().c_str()); // inform the user | ||
if (!smoothing_filter_.applyFilter(*res.trajectory_)) {// do the smoothing | ||
ROS_ERROR("Smoothing filter of the solution path failed. Filter Not Initialized "); | ||
} | ||
}// end of if successful plan | ||
return result; | ||
}; | ||
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private: | ||
ros::NodeHandle nh_; | ||
industrial_trajectory_filters::SmoothingTrajectoryFilter smoothing_filter_; | ||
std::string filter_name_; | ||
std::vector<double> filter_coef_; | ||
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}; | ||
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const std::string AddSmoothingFilter::FILTER_PARAMETER_NAME_ = "/move_group/smoothing_filter_name"; | ||
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} | ||
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CLASS_LOADER_REGISTER_CLASS(industrial_trajectory_filters::AddSmoothingFilter, | ||
planning_request_adapter::PlanningRequestAdapter); |
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134
industrial_trajectory_filters/src/smoothing_trajectory_filter.cpp
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/********************************************************************* | ||
* Software License Agreement (BSD License) | ||
* | ||
* Copyright (c) 2014, Southwest Research Institute | ||
* All rights reserved. | ||
* | ||
* Redistribution and use in source and binary forms, with or without | ||
* modification, are permitted provided that the following conditions | ||
* are met: | ||
* | ||
* * Redistributions of source code must retain the above copyright | ||
* notice, this list of conditions and the following disclaimer. | ||
* * Redistributions in binary form must reproduce the above | ||
* copyright notice, this list of conditions and the following | ||
* disclaimer in the documentation and/or other materials provided | ||
* with the distribution. | ||
* * Neither the name of Southwest Research Institute nor the names of its | ||
* contributors may be used to endorse or promote products derived | ||
* from this software without specific prior written permission. | ||
* | ||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | ||
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | ||
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS | ||
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE | ||
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, | ||
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, | ||
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | ||
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | ||
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN | ||
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | ||
* POSSIBILITY OF SUCH DAMAGE. | ||
*********************************************************************/ | ||
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/* Author: Chris Lewis */ | ||
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#include <industrial_trajectory_filters/smoothing_trajectory_filter.h> | ||
#include <console_bridge/console.h> | ||
#include <moveit/robot_state/conversions.h> | ||
#include <stdio.h> | ||
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#include <ros/ros.h> | ||
#include <ros/console.h> | ||
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namespace industrial_trajectory_filters | ||
{ | ||
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SmoothingTrajectoryFilter::SmoothingTrajectoryFilter() | ||
{ | ||
initialized_ = false; | ||
} | ||
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bool SmoothingTrajectoryFilter::init(std::vector<double> &coef) | ||
{ | ||
if(coef.size()%2 == 1) { // smoothing filters must have an odd number of coefficients | ||
initialized_ = true; | ||
num_coef_ = coef.size(); | ||
double sum =0; | ||
for(int i=0; i<num_coef_; i++) { | ||
coef_.push_back(coef[i]); | ||
sum += coef[i]; | ||
} | ||
gain_ = sum; // set gain to be the sum of the coefficients because we need unity gain | ||
return(true); | ||
} | ||
else{ | ||
initialized_ = false; | ||
return(false); | ||
} | ||
} | ||
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SmoothingTrajectoryFilter::~SmoothingTrajectoryFilter() | ||
{ | ||
coef_.clear(); | ||
} | ||
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bool SmoothingTrajectoryFilter::applyFilter(robot_trajectory::RobotTrajectory& rob_trajectory) const | ||
{ | ||
if(!initialized_) return(false); | ||
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const int num_points = rob_trajectory.getWayPointCount(); | ||
if(num_points <=2) return(false); // nothing to do here, can't change either first or last point | ||
const int num_states = rob_trajectory.getWayPoint(0).getVariableCount(); | ||
std::vector<double> xv; | ||
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// filter each variable independently | ||
for(int i=0; i<num_states; i++){ | ||
double start_value = rob_trajectory.getWayPoint(0).getVariablePosition(i); | ||
double start_slope = rob_trajectory.getWayPoint(1).getVariablePosition(i) - start_value; // slope at start | ||
double end_value = rob_trajectory.getWayPoint(num_points-1).getVariablePosition(i); | ||
double end_slope = end_value - rob_trajectory.getWayPoint(num_points-2).getVariablePosition(i); // slope at end | ||
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// initialize the filter to have initial slope | ||
xv.clear(); | ||
double value = start_value - (num_coef_/2)*start_slope; | ||
for(int j=0; j<num_coef_; j++) { | ||
xv.push_back(value); | ||
value += start_slope; | ||
} | ||
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// cycle through every waypoint, and apply the filter, NOTE, 1st and last waypoints should not be changed | ||
for(int j=1; j<num_points-1; j++){ | ||
// shift backwards | ||
for(int k=0; k<num_coef_-1; k++){ | ||
xv[k] = xv[k+1]; | ||
} | ||
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// get next input to filter which is num_coef/2 in front of current point being smoothed | ||
if(j+num_coef_/2 < num_points){ | ||
xv[num_coef_ - 1] = rob_trajectory.getWayPoint(j+num_coef_/2).getVariablePosition(i); // i'th state of j'th waypoint | ||
} | ||
else{ | ||
end_value += end_slope; | ||
xv[num_coef_-1] = end_value; // fill by continuing with final slope | ||
} | ||
// apply the filter | ||
double sum = 0.0; | ||
for(int k=0; k<num_coef_; k++){ | ||
sum += xv[k]*coef_[k]; | ||
} | ||
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// save the results | ||
rob_trajectory.getWayPointPtr(j)->setVariablePosition(i,sum/gain_); // j'th waypoint, i'th variable set to output value | ||
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}// end for every waypoint | ||
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} // end for every state | ||
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return(true); | ||
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}// end SmoothingTrajectoryFilter::applyfilter() | ||
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} // end namespace |