servoAfma6Point2DArtVelocity.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 articular. The visual feature is the center of gravity of a point.

/****************************************************************************
 *
 * ViSP, open source Visual Servoing Platform software.
 * Copyright (C) 2005 - 2019 by Inria. All rights reserved.
 *
 * 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
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 * See the file LICENSE.txt at the root directory of this source
 * distribution for additional information about the GNU GPL.
 *
 * For using ViSP with software that can not be combined with the GNU
 * GPL, please contact Inria about acquiring a ViSP Professional
 * Edition License.
 *
 * See http://visp.inria.fr for more information.
 *
 * This software was developed at:
 * Inria Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 *
 * If you have questions regarding the use of this file, please contact
 * Inria at visp@inria.fr
 *
 * 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 articular
 *
 * Authors:
 * Eric Marchand
 * Fabien Spindler
 *
 *****************************************************************************/

#include <fstream>
#include <iostream>
#include <sstream>
#include <stdio.h>
#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/core/vpImagePoint.h>
#include <visp3/gui/vpDisplayGTK.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/sensor/vp1394TwoGrabber.h>

#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/core/vpMath.h>
#include <visp3/core/vpPoint.h>
#include <visp3/robot/vpRobotAfma6.h>
#include <visp3/visual_features/vpFeatureBuilder.h>
#include <visp3/visual_features/vpFeaturePoint.h>
#include <visp3/vs/vpServo.h>

// Exception
#include <visp3/core/vpException.h>
#include <visp3/vs/vpServoDisplay.h>

#include <visp3/blob/vpDot.h>

int main()
{
  // 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 mesured joint velocities (m/s, rad/s)
  // - the 6 mesured joint positions (m, rad)
  // - the 2 values of s - s*
  std::string username;
  // Get the user login name
  vpIoTools::getUserName(username);

  // 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
      vpIoTools::makeDirectory(logdirname);
    } catch (...) {
      std::cerr << std::endl << "ERROR:" << std::endl;
      std::cerr << "  Cannot create " << logdirname << std::endl;
      exit(-1);
    }
  }
  std::string logfilename;
  logfilename = logdirname + "/log.dat";

  // Open the log file name
  std::ofstream flog(logfilename.c_str());

  try {
    vpServo task;

    vpImage<unsigned char> I;

    vp1394TwoGrabber g;
    g.setVideoMode(vp1394TwoGrabber::vpVIDEO_MODE_640x480_MONO8);
    g.setFramerate(vp1394TwoGrabber::vpFRAMERATE_60);
    g.open(I);

    g.acquire(I);

#ifdef VISP_HAVE_X11
    vpDisplayX display(I, 100, 100, "Current image");
#elif defined(VISP_HAVE_OPENCV)
    vpDisplayOpenCV display(I, 100, 100, "Current image");
#elif defined(VISP_HAVE_GTK)
    vpDisplayGTK display(I, 100, 100, "Current image");
#endif

    vpDisplay::display(I);
    vpDisplay::flush(I);
    // exit(1) ;

    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 a point " << std::endl;
    std::cout << "-------------------------------------------------------" << std::endl;
    std::cout << std::endl;

    vpDot dot;
    vpImagePoint cog;

    std::cout << "Click on a dot..." << std::endl;
    dot.initTracking(I);
    // Get the dot cog
    cog = dot.getCog();
    vpDisplay::displayCross(I, cog, 10, vpColor::blue);
    vpDisplay::flush(I);

    vpRobotAfma6 robot;

    vpCameraParameters cam;
    // Update camera parameters
    robot.getCameraParameters(cam, I);

    vpTRACE("sets the current position of the visual feature ");
    vpFeaturePoint p;
    vpFeatureBuilder::create(p, cam, dot); // retrieve x,y and Z of the vpPoint structure

    p.set_Z(1);
    vpTRACE("sets the desired position of the visual feature ");
    vpFeaturePoint pd;
    pd.buildFrom(0, 0, 1);

    vpTRACE("define the task");
    vpTRACE("\t we want an eye-in-hand control law");
    vpTRACE("\t articular velocity are computed");
    task.setServo(vpServo::EYEINHAND_L_cVe_eJe);
    task.setInteractionMatrixType(vpServo::DESIRED, vpServo::PSEUDO_INVERSE);

    vpTRACE("Set the position of the end-effector frame in the camera frame");
    vpHomogeneousMatrix cMe;
    //  robot.get_cMe(cMe) ;

    vpVelocityTwistMatrix cVe;
    robot.get_cVe(cVe);
    std::cout << cVe << std::endl;
    task.set_cVe(cVe);

    //    vpDisplay::getClick(I) ;
    vpTRACE("Set the Jacobian (expressed in the end-effector frame)");
    vpMatrix eJe;
    robot.get_eJe(eJe);
    task.set_eJe(eJe);

    vpTRACE("\t we want to see a point on a point..");
    std::cout << std::endl;
    task.addFeature(p, pd);

    vpTRACE("\t set the gain");
    task.setLambda(0.8);

    vpTRACE("Display task information ");
    task.print();

    robot.setRobotState(vpRobot::STATE_VELOCITY_CONTROL);

    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
      vpDisplay::display(I);

      // Achieve the tracking of the dot in the image
      dot.track(I);

      // Get the dot cog
      cog = dot.getCog();

      // Display a green cross at the center of gravity position in the image
      vpDisplay::displayCross(I, cog, 10, vpColor::green);

      // Update the point feature from the dot location
      vpFeatureBuilder::create(p, cam, dot);

      // 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);

      //  std::cout << (vpMatrix)cVe*eJe << std::endl ;

      vpColVector v;
      // 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
      robot.setVelocity(vpRobot::ARTICULAR_FRAME, v);

      // 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
      vpColVector qvel;
      robot.getVelocity(vpRobot::ARTICULAR_FRAME, qvel);
      // 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
      vpColVector q;
      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 feature point. For this 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;
      vpDisplay::flush(I);

      //      vpTRACE("\t\t || s - s* || = %f ", ( task.getError()
      //      ).sumSquare()) ;
    }

    flog.close(); // Close the log file

    vpTRACE("Display task information ");
    task.print();
    return EXIT_SUCCESS;
  }
  catch (const vpException &e) {
    flog.close(); // Close the log file
    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