servoSimuFourPoints2DCamVelocity.cpp

Simulation of a 2D visual servoing: Simulation of a 2D visual servoing:

• servo on 4 points,
• eye-in-hand control law,
• camera velocity are computed,
• no display.

Interaction matrix is computed as the mean of the current and desired interaction matrix.

/****************************************************************************
 *
 * $Id: servoSimuFourPoints2DCamVelocity.cpp 2503 2010-02-16 18:55:01Z fspindle $
 *
 * This file is part of the ViSP software.
 * Copyright (C) 2005 - 2013 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://www.irisa.fr/lagadic/visp/visp.html for more information.
 * 
 * This software was developed at:
 * INRIA Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 * http://www.irisa.fr/lagadic
 *
 * 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:
 * Simulation of a 2D visual servoing using 4 points as visual feature.
 *
 * Authors:
 * Eric Marchand
 * Fabien Spindler
 *
 *****************************************************************************/

#include <stdlib.h>
#include <stdio.h>

#include <visp/vpConfig.h>
#include <visp/vpFeatureBuilder.h>
#include <visp/vpFeaturePoint.h>
#include <visp/vpHomogeneousMatrix.h>
#include <visp/vpMath.h>
#include <visp/vpParseArgv.h>
#include <visp/vpServo.h>
#include <visp/vpSimulatorCamera.h>

// List of allowed command line options
#define GETOPTARGS  "h"

void usage(const char *name, const char *badparam)
{
  fprintf(stdout, "\n\
Simulation of a 2D visual servoing:\n\
- servo on 4 points,\n\
- eye-in-hand control law,\n\
- articular velocity are computed,\n\
- without display.\n\
          \n\
SYNOPSIS\n\
  %s [-h]\n", name);

  fprintf(stdout, "\n\
OPTIONS:                                               Default\n\
                  \n\
  -h\n\
     Print the help.\n");

  if (badparam) {
     fprintf(stderr, "ERROR: \n" );
     fprintf(stderr, "\nBad parameter [%s]\n", badparam);
  }
}

bool getOptions(int argc, const char **argv)
{
  const char *optarg;
  int   c;
  while ((c = vpParseArgv::parse(argc, argv, GETOPTARGS, &optarg)) > 1) {

    switch (c) {
    case 'h': usage(argv[0], NULL); return false; break;

    default:
      usage(argv[0], optarg);
      return false; break;
    }
  }

  if ((c == 1) || (c == -1)) {
    // standalone param or error
    usage(argv[0], NULL);
    std::cerr << "ERROR: " << std::endl;
    std::cerr << "  Bad argument " << optarg << std::endl << std::endl;
    return false;
  }

  return true;
}

int
main(int argc, const char ** argv)
{
  // Read the command line options
  if (getOptions(argc, argv) == false) {
    exit (-1);
  }

  int i ;
  vpServo task ;
  vpSimulatorCamera robot ;


  std::cout << std::endl ;
  std::cout << "-------------------------------------------------------" << std::endl ;
  std::cout << " Test program for vpServo "  <<std::endl ;
  std::cout << " Eye-in-hand task control,  articular velocity are computed" << std::endl ;
  std::cout << " Simulation " << std::endl ;
  std::cout << " task : servo 4 points " << std::endl ;
  std::cout << "-------------------------------------------------------" << std::endl ;
  std::cout << std::endl ;

  // sets the initial camera location with respect to the object
  vpHomogeneousMatrix cMo ;
  cMo[0][3] = 0.1 ;
  cMo[1][3] = 0.2 ;
  cMo[2][3] = 2 ;

  // Compute the position of the object in the world frame
  vpHomogeneousMatrix wMc, wMo;
  robot.getPosition(wMc) ;
  wMo = wMc * cMo;

  // sets the point coordinates in the object frame
  vpPoint point[4] ;
  point[0].setWorldCoordinates(-1,-1,0) ;
  point[1].setWorldCoordinates(1,-1,0) ;
  point[2].setWorldCoordinates(1,1,0) ;
  point[3].setWorldCoordinates(-1,1,0) ;

  // computes  the point coordinates in the camera frame and its 2D coordinates
  for (i = 0 ; i < 4 ; i++)
    point[i].track(cMo) ;

  // sets the desired position of the point
  vpFeaturePoint p[4] ;
  for (i = 0 ; i < 4 ; i++)
    vpFeatureBuilder::create(p[i], point[i])  ;  //retrieve x,y and Z of the vpPoint structure

  // sets the desired position of the point
  vpFeaturePoint pd[4] ;

  pd[0].buildFrom(-0.1,-0.1, 1) ;
  pd[1].buildFrom( 0.1,-0.1, 1) ;
  pd[2].buildFrom( 0.1, 0.1, 1) ;
  pd[3].buildFrom(-0.1, 0.1, 1) ;

  // define the task
  // - we want an eye-in-hand control law
  // - articular velocity are computed
  task.setServo(vpServo::EYEINHAND_L_cVe_eJe) ;
  task.setInteractionMatrixType(vpServo::MEAN) ;

  // Set the position of the camera in the end-effector frame
  vpHomogeneousMatrix cMe ;
  vpVelocityTwistMatrix cVe(cMe) ;
  task.set_cVe(cVe) ;

  // Set the Jacobian (expressed in the end-effector frame)
  vpMatrix eJe ;
  robot.get_eJe(eJe) ;
  task.set_eJe(eJe) ;

  // we want to see a point on a point
  for (i = 0 ; i < 4 ; i++)
    task.addFeature(p[i],pd[i]) ;

  // set the gain
  task.setLambda(1) ;

  // Display task information
  task.print() ;

  unsigned int iter=0 ;
  // loop
  while(iter++<1500)
  {
    std::cout << "---------------------------------------------" << iter <<std::endl ;
    vpColVector v ;

    // Set the Jacobian (expressed in the end-effector frame)
    // since q is modified eJe is modified
    robot.get_eJe(eJe) ;
    task.set_eJe(eJe) ;

    // get the robot position
    robot.getPosition(wMc) ;
    // Compute the position of the camera wrt the object frame
    cMo = wMc.inverse() * wMo;

    // update new point position and corresponding features
    for (i = 0 ; i < 4 ; i++)
    {
      point[i].track(cMo) ;
      //retrieve x,y and Z of the vpPoint structure
      vpFeatureBuilder::create(p[i],point[i])  ;
    }
    // since vpServo::MEAN interaction matrix is used, we need also to update the desired features at each iteration
    pd[0].buildFrom(-0.1,-0.1, 1) ;
    pd[1].buildFrom( 0.1,-0.1, 1) ;
    pd[2].buildFrom( 0.1, 0.1, 1) ;
    pd[3].buildFrom(-0.1, 0.1, 1) ;

    // compute the control law ") ;
    v = task.computeControlLaw() ;

    // send the camera velocity to the controller ") ;
    robot.setVelocity(vpRobot::CAMERA_FRAME, v) ;

    std::cout << "|| s - s* || = " << ( task.getError() ).sumSquare() << std::endl;
  }

  // Display task information
  task.print() ;
  task.kill();
}