Visual Servoing Platform  version 3.6.1 under development (2024-04-22)
servoAfma6TwoLines2DCamVelocity.cpp

Example of eye-in-hand control law. We control here a real robot, the Afma6 robot (cartesian robot, with 6 degrees of freedom). The velocity is computed in the camera frame. Visual features are the two lines.

/****************************************************************************
*
* ViSP, open source Visual Servoing Platform software.
* Copyright (C) 2005 - 2023 by Inria. All rights reserved.
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* This software is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
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* See the file LICENSE.txt at the root directory of this source
* distribution for additional information about the GNU GPL.
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* For using ViSP with software that can not be combined with the GNU
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* Edition License.
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*
* This software was developed at:
* Inria Rennes - Bretagne Atlantique
* Campus Universitaire de Beaulieu
* 35042 Rennes Cedex
* France
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* This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
* WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
*
* Description:
* tests the control law
* eye-in-hand control
* velocity computed in the camera frame
*
*****************************************************************************/
#include <cmath> // std::fabs
#include <limits> // numeric_limits
#include <stdlib.h>
#include <visp3/core/vpConfig.h>
#include <visp3/core/vpDebug.h> // Debug trace
#if (defined(VISP_HAVE_AFMA6) && defined(VISP_HAVE_DC1394))
#include <visp3/core/vpDisplay.h>
#include <visp3/core/vpImage.h>
#include <visp3/gui/vpDisplayGTK.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/sensor/vp1394TwoGrabber.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpLine.h>
#include <visp3/core/vpMath.h>
#include <visp3/me/vpMeLine.h>
#include <visp3/visual_features/vpFeatureBuilder.h>
#include <visp3/visual_features/vpFeatureLine.h>
#include <visp3/vs/vpServo.h>
#include <visp3/robot/vpRobotAfma6.h>
// Exception
#include <visp3/core/vpException.h>
#include <visp3/vs/vpServoDisplay.h>
int main()
{
try {
g.open(I);
g.acquire(I);
#ifdef VISP_HAVE_X11
vpDisplayX display(I, 100, 100, "Current image");
#elif defined(HAVE_OPENCV_HIGHGUI)
vpDisplayOpenCV display(I, 100, 100, "Current image");
#elif defined(VISP_HAVE_GTK)
vpDisplayGTK display(I, 100, 100, "Current image");
#endif
vpServo task;
std::cout << std::endl;
std::cout << "-------------------------------------------------------" << std::endl;
std::cout << " Test program for vpServo " << std::endl;
std::cout << " Eye-in-hand task control, velocity computed in the camera frame" << std::endl;
std::cout << " Simulation " << std::endl;
std::cout << " task : servo a point " << std::endl;
std::cout << "-------------------------------------------------------" << std::endl;
std::cout << std::endl;
int i;
int nbline = 2;
vpMeLine line[nbline];
vpMe me;
me.setRange(10);
me.setThreshold(15);
me.setSampleStep(10);
// Initialize the tracking. Define the two lines to track
vpTRACE("The two lines to track must be parallels ");
// vpTRACE("The two lines to track must be perpendicular ") ;
for (i = 0; i < nbline; i++) {
line[i].setMe(&me);
line[i].initTracking(I);
line[i].track(I);
}
vpRobotAfma6 robot;
// robot.move("zero.pos") ;
// Update camera parameters
robot.getCameraParameters(cam, I);
vpTRACE("sets the current position of the visual feature ");
vpFeatureLine p[nbline];
for (i = 0; i < nbline; i++)
vpFeatureBuilder::create(p[i], cam, line[i]);
vpTRACE("sets the desired position of the visual feature ");
vpLine lined[2];
lined[0].setWorldCoordinates(1, 0, 0, -0.05, 0, 0, 1, 0);
lined[1].setWorldCoordinates(1, 0, 0, 0.05, 0, 0, 1, 0);
vpHomogeneousMatrix cMo(0, 0, 0.5, 0, 0, vpMath::rad(0));
lined[0].project(cMo);
lined[1].project(cMo);
// Those lines are needed to keep the conventions define in vpMeLine
// (Those in vpLine are less restrictive) Another way to have the
// coordinates of the desired features is to learn them before executing
// the program.
lined[0].setRho(-fabs(lined[0].getRho()));
lined[0].setTheta(0);
lined[1].setRho(-fabs(lined[1].getRho()));
lined[1].setTheta(M_PI);
vpFeatureLine pd[nbline];
vpFeatureBuilder::create(pd[0], lined[0]);
vpFeatureBuilder::create(pd[1], lined[1]);
vpTRACE("define the task");
vpTRACE("\t we want an eye-in-hand control law");
vpTRACE("\t robot is controlled in the camera frame");
vpTRACE("\t we want to see a point on a point..");
std::cout << std::endl;
for (i = 0; i < nbline; i++)
task.addFeature(p[i], pd[i]);
vpTRACE("\t set the gain");
task.setLambda(0.2);
vpTRACE("Display task information ");
task.print();
unsigned int iter = 0;
vpTRACE("\t loop");
double lambda_av = 0.05;
double alpha = 0.2;
double beta = 3;
for (;;) {
std::cout << "---------------------------------------------" << iter << std::endl;
try {
g.acquire(I);
// Track the lines and update the features
for (i = 0; i < nbline; i++) {
line[i].track(I);
line[i].display(I, vpColor::red);
vpFeatureBuilder::create(p[i], cam, line[i]);
p[i].display(cam, I, vpColor::red);
pd[i].display(cam, I, vpColor::green);
}
// Adaptative gain
double gain;
{
if (std::fabs(alpha) <= std::numeric_limits<double>::epsilon())
gain = lambda_av;
else {
gain = alpha * exp(-beta * (task.getError()).sumSquare()) + lambda_av;
}
}
task.setLambda(gain);
v = task.computeControlLaw();
if (iter == 0)
}
catch (...) {
v = 0;
robot.stopMotion();
exit(1);
}
vpTRACE("\t\t || s - s* || = %f ", (task.getError()).sumSquare());
iter++;
}
vpTRACE("Display task information ");
task.print();
return EXIT_SUCCESS;
}
catch (const vpException &e) {
std::cout << "Test failed with exception: " << e << std::endl;
return EXIT_FAILURE;
}
}
#else
int main()
{
std::cout << "You do not have an afma6 robot connected to your computer..." << std::endl;
return EXIT_SUCCESS;
}
#endif
Class for firewire ieee1394 video devices using libdc1394-2.x api.
void acquire(vpImage< unsigned char > &I)
void setVideoMode(vp1394TwoVideoModeType videomode)
void setFramerate(vp1394TwoFramerateType fps)
void open(vpImage< unsigned char > &I)
Generic class defining intrinsic camera parameters.
Implementation of column vector and the associated operations.
Definition: vpColVector.h:163
static const vpColor red
Definition: vpColor.h:211
static const vpColor green
Definition: vpColor.h:214
The vpDisplayGTK allows to display image using the GTK 3rd party library. Thus to enable this class G...
Definition: vpDisplayGTK.h:128
The vpDisplayOpenCV allows to display image using the OpenCV library. Thus to enable this class OpenC...
Use the X11 console to display images on unix-like OS. Thus to enable this class X11 should be instal...
Definition: vpDisplayX.h:128
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void display(const vpImage< unsigned char > &I)
static void flush(const vpImage< unsigned char > &I)
error that can be emitted by ViSP classes.
Definition: vpException.h:59
static void create(vpFeaturePoint &s, const vpCameraParameters &cam, const vpDot &d)
Class that defines a 2D line visual feature which is composed by two parameters that are and ,...
void display(const vpCameraParameters &cam, const vpImage< unsigned char > &I, const vpColor &color=vpColor::green, unsigned int thickness=1) const vp_override
Implementation of an homogeneous matrix and operations on such kind of matrices.
Class that defines a 3D line in the object frame and allows forward projection of the line in the cam...
Definition: vpLine.h:101
void setRho(double rho)
Definition: vpLine.h:151
void setTheta(double theta)
Definition: vpLine.h:161
void setWorldCoordinates(const double &oA1, const double &oB1, const double &oC1, const double &oD1, const double &oA2, const double &oB2, const double &oC2, const double &oD2)
Definition: vpLine.cpp:82
static double rad(double deg)
Definition: vpMath.h:127
Class that tracks in an image a line moving edges.
Definition: vpMeLine.h:147
void display(const vpImage< unsigned char > &I, const vpColor &color, unsigned int thickness=1)
Definition: vpMeLine.cpp:192
void track(const vpImage< unsigned char > &I)
Definition: vpMeLine.cpp:662
void initTracking(const vpImage< unsigned char > &I)
Definition: vpMeLine.cpp:197
@ RANGE_RESULT
Definition: vpMeSite.h:75
void setDisplay(vpMeSite::vpMeSiteDisplayType select)
Definition: vpMeTracker.h:250
void setMe(vpMe *me)
Definition: vpMeTracker.h:278
Definition: vpMe.h:124
void setPointsToTrack(const int &points_to_track)
Definition: vpMe.h:422
void setRange(const unsigned int &range)
Definition: vpMe.h:429
void setLikelihoodThresholdType(const vpLikelihoodThresholdType likelihood_threshold_type)
Definition: vpMe.h:519
void setThreshold(const double &threshold)
Definition: vpMe.h:480
void setSampleStep(const double &sample_step)
Definition: vpMe.h:436
@ NORMALIZED_THRESHOLD
Definition: vpMe.h:135
Control of Irisa's gantry robot named Afma6.
Definition: vpRobotAfma6.h:209
void setVelocity(const vpRobot::vpControlFrameType frame, const vpColVector &vel) vp_override
@ CAMERA_FRAME
Definition: vpRobot.h:82
@ STATE_VELOCITY_CONTROL
Initialize the velocity controller.
Definition: vpRobot.h:65
virtual vpRobotStateType setRobotState(const vpRobot::vpRobotStateType newState)
Definition: vpRobot.cpp:198
@ EYEINHAND_CAMERA
Definition: vpServo.h:155
void addFeature(vpBasicFeature &s_cur, vpBasicFeature &s_star, unsigned int select=vpBasicFeature::FEATURE_ALL)
Definition: vpServo.cpp:329
void print(const vpServo::vpServoPrintType display_level=ALL, std::ostream &os=std::cout)
Definition: vpServo.cpp:169
void setLambda(double c)
Definition: vpServo.h:976
void setServo(const vpServoType &servo_type)
Definition: vpServo.cpp:132
vpColVector getError() const
Definition: vpServo.h:504
vpColVector computeControlLaw()
Definition: vpServo.cpp:703
#define vpTRACE
Definition: vpDebug.h:405
void display(vpImage< unsigned char > &I, const std::string &title)
Display a gray-scale image.