servoViper850Point2DArtVelocity-jointAvoidance-gpa.cpp

/****************************************************************************
 *
 * $Id: servoViper850Point2DArtVelocity-jointAvoidance-gpa.cpp 4664 2014-02-16 16:17:54Z fspindle $
 *
 * This file is part of the ViSP software.
 * Copyright (C) 2005 - 2014 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:
 *   tests the control law
 *   eye-in-hand control
 *   velocity computed in articular
 *
 * Authors:
 * Eric Marchand
 * Fabien Spindler
 *
 *****************************************************************************/

#include <visp/vpConfig.h>
#include <visp/vpDebug.h> // Debug trace

#include <stdlib.h>
#include <stdio.h>
#include <iostream>
#include <fstream>
#include <sstream>

#if (defined (VISP_HAVE_VIPER850) && defined (VISP_HAVE_DC1394_2))

#include <visp/vp1394TwoGrabber.h>
#include <visp/vpImage.h>
#include <visp/vpDisplay.h>
#include <visp/vpDisplayX.h>
#include <visp/vpDisplayOpenCV.h>
#include <visp/vpDisplayGTK.h>
#include <visp/vpMath.h>
#include <visp/vpHomogeneousMatrix.h>
#include <visp/vpFeaturePoint.h>
#include <visp/vpPoint.h>
#include <visp/vpServo.h>
#include <visp/vpFeatureBuilder.h>
#include <visp/vpRobotViper850.h>
#include <visp/vpIoTools.h>
#include <visp/vpException.h>
#include <visp/vpMatrixException.h>
#include <visp/vpServoDisplay.h>
#include <visp/vpDot2.h>
#include <visp/vpPlot.h>


int
main()
{
  try {
    vpRobotViper850 robot ;

    vpServo task ;

    vpImage<unsigned char> I ;

    bool reset = false;
    vp1394TwoGrabber g(reset);
    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,800,100,"Current image") ;
#elif defined(VISP_HAVE_OPENCV)
    vpDisplayOpenCV display(I,800,100,"Current image") ;
#elif defined(VISP_HAVE_GTK)
    vpDisplayGTK display(I,800,100,"Current image") ;
#endif

    vpDisplay::display(I) ;
    vpDisplay::flush(I) ;

    vpColVector jointMin(6), jointMax(6) ;
    jointMin = robot.getJointMin();
    jointMax = robot.getJointMax();

    vpColVector Qmin(6), tQmin(6) ;
    vpColVector Qmax(6), tQmax(6) ;
    vpColVector Qmiddle(6);
    vpColVector data(10) ;

    double rho = 0.15 ;
    for (unsigned int i=0 ; i < 6 ; i++)
    {
      Qmin[i] = jointMin[i] + 0.5*rho*(jointMax[i]-jointMin[i]) ;
      Qmax[i] = jointMax[i] - 0.5*rho*(jointMax[i]-jointMin[i]) ;
    }
    Qmiddle = (Qmin + Qmax) /2.;
    double rho1 = 0.1 ;
    
    for (unsigned int i=0 ; i < 6 ; i++) {
      tQmin[i]=Qmin[i]+ 0.5*(rho1)*(Qmax[i]-Qmin[i]) ;
      tQmax[i]=Qmax[i]- 0.5*(rho1)*(Qmax[i]-Qmin[i]) ;
    }

    vpColVector q(6) ;

    // Create a window with two graphics
    // - first graphic to plot q(t), Qmin, Qmax, tQmin and tQmax
    // - second graphic to plot the cost function h_s
    vpPlot plot(2);

    // The first graphic contains 10 data to plot: q(t), Qmin, Qmax, tQmin and
    // tQmax
    plot.initGraph(0, 10);
    // The second graphic contains 1 curve, the cost function h_s
    plot.initGraph(1, 1);


    // For the first graphic :
    // - along the x axis the expected values are between 0 and 200 
    // - along the y axis the expected values are between -1.2 and 1.2 
    plot.initRange(0, 0., 200., -1.2, 1.2);
    plot.setTitle(0, "Joint behavior");

    // For the second graphic :
    // - along the x axis the expected values are between 0 and 200 and 
    //   the step is 1 
    // - along the y axis the expected values are between 0 and 0.0001 and the
    //   step is 0.00001
    plot.initRange(1, 0., 200., 0., 1e-4);
    plot.setTitle(1, "Cost function");

    // For the first graphic, set the curves legend
    char legend[10];
    for (unsigned int i=0; i < 6; i++) {
      sprintf(legend, "q%d", i+1);
      plot.setLegend(0, i, legend);
    }
    plot.setLegend(0, 6, "tQmin");
    plot.setLegend(0, 7, "tQmax");
    plot.setLegend(0, 8, "Qmin");
    plot.setLegend(0, 9, "Qmax");

    // Set the curves color
    plot.setColor(0, 0, vpColor::red); 
    plot.setColor(0, 1, vpColor::green); 
    plot.setColor(0, 2, vpColor::blue); 
    plot.setColor(0, 3, vpColor::orange); 
    plot.setColor(0, 4, vpColor(0, 128, 0)); 
    plot.setColor(0, 5, vpColor::cyan); 
    for (unsigned int i= 6; i < 10; i++)
      plot.setColor(0, i, vpColor::black); // for Q and tQ [min,max]

    // For the second graphic, set the curves legend
    plot.setLegend(1, 0, "h_s");

    double beta = 1; 

    // Set the amplitude of the control law due to the secondary task
    std::cout << " Give the parameters beta (1) : ";
    std::cin >> beta ;

    vpDot2 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);

    // 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) ;
    // sets the desired position of the visual feature
    vpFeaturePoint pd ;
    pd.buildFrom(0,0,1) ;

    // 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::DESIRED, vpServo::PSEUDO_INVERSE) ;

    vpVelocityTwistMatrix cVe ;
    robot.get_cVe(cVe) ;
    std::cout << cVe <<std::endl ;
    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..") ;
    std::cout << std::endl ;
    task.addFeature(p,pd) ;

    // - set the gain
    task.setLambda(0.8) ;

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

    robot.setRobotState(vpRobot::STATE_VELOCITY_CONTROL) ;

    int iter = 0;
    std::cout << "\nHit CTRL-C to stop the loop...\n" << std::flush;
    for ( ; ; ) {
      iter ++;
      // 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) ;
      cog = dot.getCog();

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

      // Get the measured joint positions of the robot
      robot.getPosition(vpRobot::ARTICULAR_FRAME, q);

      // 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) ;

      vpColVector prim_task ;
      vpColVector e2(6) ;
      // Compute the visual servoing skew vector
      prim_task = task.computeControlLaw() ;

      vpColVector sec_task(6) ;
      double h_s = 0 ;
      {
        // joint limit avoidance with secondary task

        vpColVector de2dt(6);
        de2dt = 0 ;
        e2 = 0 ;
        for (unsigned int i=0 ; i < 6 ; i++)
        {
          double S = 0 ;
          if (q[i] > tQmax[i]) S = q[i] - tQmax[i] ;
          if (q[i] < tQmin[i]) S = q[i] - tQmin[i] ;
          double D = (Qmax[i]-Qmin[i]) ;
          h_s += vpMath::sqr(S)/D ;
          e2[i] = S/D ;
        }
        h_s = beta*h_s/2.0 ; // cost function
        e2 *= beta ;
        //  std::cout << e2.t() << std::endl;
        std::cout << "Cost function h_s: " << h_s << std::endl;

        sec_task = task.secondaryTask(e2, de2dt) ;
      }

      vpColVector v ;
      v = prim_task + sec_task;

      // 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) ;

      {
        // Add the material to plot curves

        // q normalized between (entre -1 et 1)
        for (unsigned int i=0 ; i < 6 ; i++) {
          data[i] = (q[i] - Qmiddle[i]) ;
          data[i] /= (Qmax[i] - Qmin[i]) ;
          data[i]*=2 ;
        }
        unsigned int joint = 2;
        data[6] = 2*(tQmin[joint]-Qmiddle[joint])/(Qmax[joint] - Qmin[joint]) ;
        data[7] = 2*(tQmax[joint]-Qmiddle[joint])/(Qmax[joint] - Qmin[joint]) ;
        data[8] = -1 ; data[9] = 1 ;
        plot.plot(0, iter, data); // plot q, Qmin, Qmax, tQmin, tQmax
        plot.plot(1, 0, iter, h_s); // plot the cost function
      }

      vpDisplay::flush(I) ;
    }

    // Display task information
    task.print() ;
    task.kill();
    return 0;
  }
  catch (...)
  {
    vpERROR_TRACE(" Test failed") ;
    return 0;
  }
}


#else
int
main()
{
  vpERROR_TRACE("You do not have an afma6 robot or a firewire framegrabber connected to your computer...");
}
#endif