Example of eye-in-hand control law. We control here a real robot, the Viper S850 robot (arm with 6 degrees of freedom). The velocity is computed in camera frame. The inverse jacobian that converts cartesian velocities in joint velocities is implemented in the robot low level controller. Visual features are the image coordinates of 4 points. The target is made of 4 dots arranged as a 10cm by 10cm square.
#include <visp3/core/vpConfig.h>
#include <visp3/core/vpDebug.h>
#include <fstream>
#include <iostream>
#include <sstream>
#include <stdio.h>
#include <stdlib.h>
#if (defined(VISP_HAVE_VIPER850) && defined(VISP_HAVE_DC1394))
#include <visp3/blob/vpDot2.h>
#include <visp3/core/vpDisplay.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpImage.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/core/vpMath.h>
#include <visp3/core/vpPoint.h>
#include <visp3/gui/vpDisplayGTK.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/robot/vpRobotViper850.h>
#include <visp3/sensor/vp1394TwoGrabber.h>
#include <visp3/vision/vpPose.h>
#include <visp3/visual_features/vpFeatureBuilder.h>
#include <visp3/visual_features/vpFeaturePoint.h>
#include <visp3/vs/vpServo.h>
#include <visp3/vs/vpServoDisplay.h>
#define L 0.05
#ifdef ENABLE_VISP_NAMESPACE
#endif
{
for (int i = 0; i < ndot; i++) {
double x = 0, y = 0;
y);
}
if (init == true) {
}
else {
}
}
int main()
{
std::string username;
std::string logdirname;
logdirname = "/tmp/" + username;
try {
}
catch (...) {
std::cerr << std::endl << "ERROR:" << std::endl;
std::cerr << " Cannot create " << logdirname << std::endl;
return EXIT_FAILURE;
}
}
std::string logfilename;
logfilename = logdirname + "/log.dat";
std::ofstream flog(logfilename.c_str());
try {
int i;
bool reset = false;
g.open(I);
g.acquire(I);
#ifdef VISP_HAVE_X11
vpDisplayX display(I, 100, 100, "Current image");
#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 space" << std::endl;
std::cout << " Use of the Viper850 robot " << std::endl;
std::cout << " task : servo 4 points on a square with dimension " << L << " meters" << std::endl;
std::cout << "-------------------------------------------------------" << std::endl;
std::cout << std::endl;
std::cout << "Click on the 4 dots clockwise starting from upper/left dot..." << std::endl;
for (i = 0; i < 4; i++) {
}
robot.getCameraParameters(cam, I);
for (i = 0; i < 4; i++)
for (int i = 0; i < 4; i++) {
}
for (i = 0; i < 4; i++)
bool init_pose_from_linear_method = true;
std::cout << "\nHit CTRL-C to stop the loop...\n" << std::flush;
for (;;) {
g.acquire(I);
try {
for (i = 0; i < 4; i++) {
}
}
catch (...) {
flog.close();
vpTRACE("Error detected while tracking visual features");
robot.stopMotion();
return EXIT_FAILURE;
}
compute_pose(point, dot, 4, cam, cMo, init_pose_from_linear_method);
if (init_pose_from_linear_method) {
init_pose_from_linear_method = false;
}
for (i = 0; i < 4; i++) {
p[i].set_Z(cP[2]);
}
flog << v[0] << " " << v[1] << " " << v[2] << " " << v[3] << " " << v[4] << " " << v[5] << " ";
flog << qvel[0] << " " << qvel[1] << " " << qvel[2] << " " << qvel[3] << " " << qvel[4] << " " << qvel[5] << " ";
flog << q[0] << " " << q[1] << " " << q[2] << " " << q[3] << " " << q[4] << " " << q[5] << " ";
}
std::cout << "Display task information: " << std::endl;
flog.close();
return EXIT_SUCCESS;
}
flog.close();
std::cout <<
"Catch an exception: " << e.
getMessage() << std::endl;
return EXIT_FAILURE;
}
}
#else
int main()
{
std::cout << "You do not have an Viper 850 robot connected to your computer..." << std::endl;
return EXIT_SUCCESS;
}
#endif
Class for firewire ieee1394 video devices using libdc1394-2.x api.
@ vpVIDEO_MODE_640x480_MONO8
Generic class defining intrinsic camera parameters.
vpCameraParametersProjType
@ perspectiveProjWithDistortion
Perspective projection with distortion model.
Implementation of column vector and the associated operations.
static const vpColor blue
static const vpColor green
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...
static void display(const vpImage< unsigned char > &I)
static void displayCross(const vpImage< unsigned char > &I, const vpImagePoint &ip, unsigned int size, const vpColor &color, unsigned int thickness=1)
static void flush(const vpImage< unsigned char > &I)
This tracker is meant to track a blob (connex pixels with same gray level) on a vpImage.
void track(const vpImage< unsigned char > &I, bool canMakeTheWindowGrow=true)
void setGraphics(bool activate)
vpImagePoint getCog() const
void initTracking(const vpImage< unsigned char > &I, unsigned int size=0)
error that can be emitted by ViSP classes.
const char * getMessage() const
static void create(vpFeaturePoint &s, const vpCameraParameters &cam, const vpImagePoint &t)
Class that defines a 2D point visual feature which is composed by two parameters that are the cartes...
Implementation of an homogeneous matrix and operations on such kind of matrices.
vpHomogeneousMatrix & buildFrom(const vpTranslationVector &t, const vpRotationMatrix &R)
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
static double rad(double deg)
static void convertPoint(const vpCameraParameters &cam, const double &u, const double &v, double &x, double &y)
Class that defines a 3D point in the object frame and allows forward projection of a 3D point in the ...
void set_x(double x)
Set the point x coordinate in the image plane.
void projection(const vpColVector &_cP, vpColVector &_p) const VP_OVERRIDE
void changeFrame(const vpHomogeneousMatrix &cMo, vpColVector &cP) const VP_OVERRIDE
void setWorldCoordinates(double oX, double oY, double oZ)
void set_y(double y)
Set the point y coordinate in the image plane.
Class used for pose computation from N points (pose from point only). Some of the algorithms implemen...
void addPoint(const vpPoint &P)
@ DEMENTHON_LAGRANGE_VIRTUAL_VS
bool computePose(vpPoseMethodType method, vpHomogeneousMatrix &cMo, FuncCheckValidityPose func=nullptr)
void getVelocity(const vpRobot::vpControlFrameType frame, vpColVector &velocity)
void setVelocity(const vpRobot::vpControlFrameType frame, const vpColVector &vel) VP_OVERRIDE
Control of Irisa's Viper S850 robot named Viper850.
@ STATE_VELOCITY_CONTROL
Initialize the velocity controller.
virtual vpRobotStateType setRobotState(const vpRobot::vpRobotStateType newState)
Implementation of a rotation matrix and operations on such kind of matrices.
Implementation of a rotation vector as Euler angle minimal representation.
static void display(const vpServo &s, const vpCameraParameters &cam, const vpImage< unsigned char > &I, vpColor currentColor=vpColor::green, vpColor desiredColor=vpColor::red, unsigned int thickness=1)
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)
void setServo(const vpServoType &servo_type)
vpColVector getError() const
vpColVector computeControlLaw()
Class that consider the case of a translation vector.
@ TOOL_PTGREY_FLEA2_CAMERA