servoAfma4Point2DArtVelocity.cpp

Example of eye-in-hand control law. We control here a real robot, the Afma4 robot (cylindrical robot, with 4 degrees of freedom). The velocity is computed in articular. The visual feature is the center of gravity of a point.

/****************************************************************************
 *
 * This file is part of the ViSP software.
 * Copyright (C) 2005 - 2017 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
 * ("GPL") version 2 as published by the Free Software Foundation.
 * 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 <visp3/core/vpConfig.h>
#include <visp3/core/vpDebug.h> // Debug trace
#include <stdio.h>
#include <iostream>
#include <fstream>
#include <sstream>
#include <stdlib.h>
#if (defined (VISP_HAVE_AFMA4) && defined (VISP_HAVE_DC1394))

#include <visp3/sensor/vp1394TwoGrabber.h>
#include <visp3/core/vpImage.h>
#include <visp3/core/vpImagePoint.h>
#include <visp3/core/vpDisplay.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayGTK.h>

#include <visp3/core/vpMath.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/visual_features/vpFeaturePoint.h>
#include <visp3/core/vpPoint.h>
#include <visp3/vs/vpServo.h>
#include <visp3/visual_features/vpFeatureBuilder.h>
#include <visp3/robot/vpRobotAfma4.h>
#include <visp3/core/vpIoTools.h>

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

#include <visp3/blob/vpDot.h>

int
main()
{
  try {
    // 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());

    //    vpRobotAfma4 robot ;
    vpRobotAfma4 robot ;

    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 Afma4 robot " << std::endl ;
    std::cout << " task : servo a point " << std::endl ;
    std::cout << "-------------------------------------------------------" << std::endl ;
    std::cout << std::endl ;


    vpDot dot ;

    std::cout << "Click on a dot..." << std::endl;
    dot.initTracking(I) ;

    vpImagePoint cog = dot.getCog();

    vpDisplay::displayCross(I, cog, 10, vpColor::blue) ;
    vpDisplay::flush(I);

    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 camera in the end-effector 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 cog of the dot
      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() << 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() ;
    task.kill();
    return 0;
  }
  catch(vpException &e) {
    std::cout << "Catch a ViSP exception: " << e << std::endl;
    return 1;
  }
}


#else
int
main()
{
  vpERROR_TRACE("You do not have an afma4 robot or a firewire framegrabber connected to your computer...");
}
#endif