Visual Servoing Platform  version 3.6.1 under development (2024-11-14)
servoViper850FourPoints2DArtVelocityLs_des.cpp

Example of eye-in-hand control law. We control here a real robot, the Viper S850 robot (arm with 6 degrees of freedom). The velocities resulting from visual servo are here joint velocities. Visual features are the image coordinates of 4 points. The target is made of 4 dots arranged as a 10cm by 10cm square.

/****************************************************************************
*
* ViSP, open source Visual Servoing Platform software.
* Copyright (C) 2005 - 2023 by Inria. All rights reserved.
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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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* WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
*
* Description:
* tests the control law
* eye-in-hand control
* velocity computed in the articular frame
*
*****************************************************************************/
#include <visp3/core/vpConfig.h>
#include <visp3/core/vpDebug.h> // Debug trace
#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>
int main()
{
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
// Log file creation in /tmp/$USERNAME/log.dat
// This file contains by line:
// - the 6 computed joint velocities (m/s, rad/s) to achieve the task
// - the 6 measured joint velocities (m/s, rad/s)
// - the 6 measured joint positions (m, rad)
// - the 8 values of s - s*
std::string username;
// Get the user login name
// Create a log filename to save velocities...
std::string logdirname;
logdirname = "/tmp/" + username;
// Test if the output path exist. If no try to create it
if (vpIoTools::checkDirectory(logdirname) == false) {
try {
// Create the dirname
}
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";
// Open the log file name
std::ofstream flog(logfilename.c_str());
try {
// Define the square CAD model
// Square dimension
// #define L 0.075
#define L 0.05
// Distance between the camera and the square at the desired
// position after visual servoing convergence
#define D 0.5
// Load the end-effector to camera frame transformation obtained
// using a camera intrinsic model with distortion
vpServo task;
int i;
bool reset = false;
vp1394TwoGrabber g(reset);
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
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 joint space" << std::endl;
std::cout << " Use of the Afma6 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;
vpDot dot[4];
std::cout << "Click on the 4 dots clockwise starting from upper/left dot..." << std::endl;
for (i = 0; i < 4; i++) {
dot[i].setGraphics(true);
dot[i].initTracking(I);
cog = dot[i].getCog();
}
// Update camera parameters
robot.getCameraParameters(cam, I);
// Sets the current position of the visual feature
for (i = 0; i < 4; i++)
vpFeatureBuilder::create(p[i], cam, dot[i]); // retrieve x,y and Z of the vpPoint structure
// sets the desired position of the visual feature
pd[0].buildFrom(-L, -L, D);
pd[1].buildFrom(L, -L, D);
pd[2].buildFrom(L, L, D);
pd[3].buildFrom(-L, L, D);
// We want to see a point on a point
std::cout << std::endl;
for (i = 0; i < 4; i++)
task.addFeature(p[i], pd[i]);
// Set the proportional gain
task.setLambda(0.4);
// Display task information
task.print();
// Define the task
// - we want an eye-in-hand control law
// - articular velocity are computed
task.print();
robot.get_cVe(cVe);
task.set_cVe(cVe);
task.print();
// Set the Jacobian (expressed in the end-effector frame)
vpMatrix eJe;
robot.get_eJe(eJe);
task.set_eJe(eJe);
task.print();
// Initialise the velocity control of the robot
std::cout << "\nHit CTRL-C to stop the loop...\n" << std::flush;
for (;;) {
// Acquire a new image from the camera
g.acquire(I);
// Display this image
try {
// For each point...
for (i = 0; i < 4; i++) {
// Achieve the tracking of the dot in the image
dot[i].track(I);
// Display a green cross at the center of gravity position in the
// image
cog = dot[i].getCog();
}
}
catch (...) {
flog.close(); // Close the log file
vpTRACE("Error detected while tracking visual features");
robot.stopMotion();
exit(1);
}
// Update the point feature from the dot location
for (i = 0; i < 4; i++)
vpFeatureBuilder::create(p[i], cam, dot[i]);
// Get the jacobian of the robot
robot.get_eJe(eJe);
// Update this jacobian in the task structure. It will be used to
// compute the velocity skew (as an articular velocity) qdot = -lambda *
// L^+ * cVe * eJe * (s-s*)
task.set_eJe(eJe);
// Compute the visual servoing skew vector
v = task.computeControlLaw();
// Display the current and desired feature points in the image display
vpServoDisplay::display(task, cam, I);
// Apply the computed joint velocities to the robot
// Save velocities applied to the robot in the log file
// v[0], v[1], v[2] correspond to joint translation velocities in m/s
// v[3], v[4], v[5] correspond to joint rotation velocities in rad/s
flog << v[0] << " " << v[1] << " " << v[2] << " " << v[3] << " " << v[4] << " " << v[5] << " ";
// Get the measured joint velocities of the robot
// Save measured joint velocities of the robot in the log file:
// - qvel[0], qvel[1], qvel[2] correspond to measured joint translation
// velocities in m/s
// - qvel[3], qvel[4], qvel[5] correspond to measured joint rotation
// velocities in rad/s
flog << qvel[0] << " " << qvel[1] << " " << qvel[2] << " " << qvel[3] << " " << qvel[4] << " " << qvel[5] << " ";
// Get the measured joint positions of the robot
robot.getPosition(vpRobot::ARTICULAR_FRAME, q);
// Save measured joint positions of the robot in the log file
// - q[0], q[1], q[2] correspond to measured joint translation
// positions in m
// - q[3], q[4], q[5] correspond to measured joint rotation
// positions in rad
flog << q[0] << " " << q[1] << " " << q[2] << " " << q[3] << " " << q[4] << " " << q[5] << " ";
// Save feature error (s-s*) for the 4 feature points. For each feature
// point, we have 2 errors (along x and y axis). This error is
// expressed in meters in the camera frame
flog << (task.getError()).t() << std::endl;
// Flush the display
// std::cout << "|| s - s* || = " << ( task.getError() ).sumSquare() <<
// std::endl;
}
std::cout << "Display task information: " << std::endl;
task.print();
flog.close(); // Close the log file
return EXIT_SUCCESS;
}
catch (const vpException &e) {
flog.close(); // Close the log file
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.
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.
@ perspectiveProjWithDistortion
Perspective projection with distortion model.
Implementation of column vector and the associated operations.
Definition: vpColVector.h:191
static const vpColor blue
Definition: vpColor.h:223
static const vpColor green
Definition: vpColor.h:220
The vpDisplayGTK allows to display image using the GTK 3rd party library. Thus to enable this class G...
Definition: vpDisplayGTK.h:133
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 dot (connected pixels with same gray level) on a vpImage.
Definition: vpDot.h:116
void initTracking(const vpImage< unsigned char > &I)
Definition: vpDot.cpp:630
void setGraphics(bool activate)
Definition: vpDot.h:354
vpImagePoint getCog() const
Definition: vpDot.h:247
void track(const vpImage< unsigned char > &I)
Definition: vpDot.cpp:760
error that can be emitted by ViSP classes.
Definition: vpException.h:60
const char * getMessage() const
Definition: vpException.cpp:65
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...
vpFeaturePoint & buildFrom(const double &x, const double &y, const double &Z)
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
Definition: vpImagePoint.h:82
static bool checkDirectory(const std::string &dirname)
Definition: vpIoTools.cpp:396
static std::string getUserName()
Definition: vpIoTools.cpp:285
static void makeDirectory(const std::string &dirname)
Definition: vpIoTools.cpp:550
Implementation of a matrix and operations on matrices.
Definition: vpMatrix.h:169
void get_eJe(vpMatrix &eJe) VP_OVERRIDE
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.
@ ARTICULAR_FRAME
Definition: vpRobot.h:80
@ STATE_VELOCITY_CONTROL
Initialize the velocity controller.
Definition: vpRobot.h:67
virtual vpRobotStateType setRobotState(const vpRobot::vpRobotStateType newState)
Definition: vpRobot.cpp:202
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)
Definition: vpServo.cpp:380
@ EYEINHAND_L_cVe_eJe
Definition: vpServo.h:168
void addFeature(vpBasicFeature &s_cur, vpBasicFeature &s_star, unsigned int select=vpBasicFeature::FEATURE_ALL)
Definition: vpServo.cpp:331
void set_cVe(const vpVelocityTwistMatrix &cVe_)
Definition: vpServo.h:1038
void print(const vpServo::vpServoPrintType display_level=ALL, std::ostream &os=std::cout)
Definition: vpServo.cpp:171
void setLambda(double c)
Definition: vpServo.h:986
void set_eJe(const vpMatrix &eJe_)
Definition: vpServo.h:1101
void setServo(const vpServoType &servo_type)
Definition: vpServo.cpp:134
vpColVector getError() const
Definition: vpServo.h:510
@ PSEUDO_INVERSE
Definition: vpServo.h:235
vpColVector computeControlLaw()
Definition: vpServo.cpp:705
@ DESIRED
Definition: vpServo.h:208
vpVelocityTwistMatrix get_cVe() const
Definition: vpUnicycle.h:72
@ TOOL_PTGREY_FLEA2_CAMERA
Definition: vpViper850.h:122