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 corresponding to the edges of a cylinder.
This example illustrates in one hand a classical visual servoing with a cylinder. And in the other hand it illustrates the behaviour of the robot when adding a secondary task.
#include <cmath>
#include <limits>
#include <stdlib.h>
#include <visp3/core/vpConfig.h>
#include <visp3/core/vpDebug.h>
#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/vpCylinder.h>
#include <visp3/core/vpHomogeneousMatrix.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>
#include <visp3/core/vpException.h>
#include <visp3/vs/vpServoDisplay.h>
int main()
{
try {
#ifdef VISP_HAVE_X11
#elif defined(HAVE_OPENCV_HIGHGUI)
#elif defined(VISP_HAVE_GTK)
#endif
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;
for (i = 0; i < nbline; i++) {
}
robot.getCameraParameters(cam, I);
vpTRACE(
"sets the current position of the visual feature ");
for (i = 0; i < nbline; i++)
vpTRACE(
"sets the desired position of the visual feature ");
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++)
vpTRACE(
"Display task information ");
unsigned int iter = 0;
double lambda_av = 0.05;
double alpha = 0.02;
double beta = 3;
double erreur = 1;
while (erreur > 0.00001) {
std::cout << "---------------------------------------------" << iter << std::endl;
try {
for (i = 0; i < nbline; i++) {
}
double gain;
{
if (std::fabs(alpha) <= std::numeric_limits<double>::epsilon())
gain = lambda_av;
else {
gain = alpha * exp(-beta * (task.
getError()).sumSquare()) + lambda_av;
}
}
if (iter == 0)
}
catch (...) {
v = 0;
robot.stopMotion();
exit(1);
}
iter++;
}
e1 = 0;
e2 = 0;
iter = 0;
double rapport = 0;
double vitesse = 0.02;
unsigned int tempo = 1200;
for (;;) {
std::cout << "---------------------------------------------" << iter << std::endl;
try {
for (i = 0; i < nbline; i++) {
}
if (iter % tempo < 400 /*&& iter%tempo >= 0*/) {
e2 = 0;
e1[0] = fabs(vitesse);
rapport = vitesse / proj_e1[0];
proj_e1 *= rapport;
v += proj_e1;
if (iter == 199)
iter += 200;
}
if (iter % tempo < 600 && iter % tempo >= 400) {
e1 = 0;
e2[1] = fabs(vitesse);
rapport = vitesse / proj_e2[1];
proj_e2 *= rapport;
v += proj_e2;
}
if (iter % tempo < 1000 && iter % tempo >= 600) {
e2 = 0;
e1[0] = -fabs(vitesse);
rapport = -vitesse / proj_e1[0];
proj_e1 *= rapport;
v += proj_e1;
}
if (iter % tempo < 1200 && iter % tempo >= 1000) {
e1 = 0;
e2[1] = -fabs(vitesse);
rapport = -vitesse / proj_e2[1];
proj_e2 *= rapport;
v += proj_e2;
}
}
catch (...) {
v = 0;
robot.stopMotion();
exit(1);
}
iter++;
}
vpTRACE(
"Display task information ");
return EXIT_SUCCESS;
}
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)
@ vpVIDEO_MODE_640x480_MONO8
void setFramerate(vp1394TwoFramerateType fps)
void open(vpImage< unsigned char > &I)
Generic class defining intrinsic camera parameters.
Implementation of column vector and the associated operations.
static const vpColor green
Class that defines a 3D cylinder in the object frame and allows forward projection of a 3D cylinder i...
The vpDisplayGTK allows to display image using the GTK 3rd party library. Thus to enable this class G...
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...
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.
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 setRhoTheta(double rho, double theta)
void display(const vpCameraParameters &cam, const vpImage< unsigned char > &I, const vpColor &color=vpColor::green, unsigned int thickness=1) const override
Implementation of an homogeneous matrix and operations on such kind of matrices.
static double rad(double deg)
Class that tracks in an image a line moving edges.
void display(const vpImage< unsigned char > &I, const vpColor &color, unsigned int thickness=1)
void track(const vpImage< unsigned char > &I)
void initTracking(const vpImage< unsigned char > &I)
void setDisplay(vpMeSite::vpMeSiteDisplayType select)
void setPointsToTrack(const int &points_to_track)
void setRange(const unsigned int &range)
void setLikelihoodThresholdType(const vpLikelihoodThresholdType likelihood_threshold_type)
void setThreshold(const double &threshold)
void setSampleStep(const double &sample_step)
Control of Irisa's gantry robot named Afma6.
void setVelocity(const vpRobot::vpControlFrameType frame, const vpColVector &vel) override
@ STATE_VELOCITY_CONTROL
Initialize the velocity controller.
virtual vpRobotStateType setRobotState(const vpRobot::vpRobotStateType newState)
void setInteractionMatrixType(const vpServoIteractionMatrixType &interactionMatrixType, const vpServoInversionType &interactionMatrixInversion=PSEUDO_INVERSE)
void addFeature(vpBasicFeature &s_cur, vpBasicFeature &s_star, unsigned int select=vpBasicFeature::FEATURE_ALL)
void print(const vpServo::vpServoPrintType display_level=ALL, std::ostream &os=std::cout)
vpColVector secondaryTask(const vpColVector &de2dt, const bool &useLargeProjectionOperator=false)
void setServo(const vpServoType &servo_type)
vpColVector getError() const
vpColVector computeControlLaw()
void display(vpImage< unsigned char > &I, const std::string &title)
Display a gray-scale image.