servoViper650FourPoints2DCamVelocityLs_cur-SR300.cpp

Example of eye-in-hand control law. We control here a real robot, the Viper S650 robot (arm with 6 degrees of freedom). The velocity is computed in camera frame. The inverse jacobian that converts cartesian velocities in joint velocities is implemented in the robot low level controller. Visual features are the image coordinates of 4 points. The target is made of 4 dots arranged as a 10cm by 10cm square.The device used to acquire images is a Realsense SR300 device.

Camera extrinsic (eMc) parameters are read from SR300-eMc.cnf file located besides this code.

Camera intrinsic parameters are retrieved from the Realsense SDK.

/****************************************************************************
 *
 * ViSP, open source Visual Servoing Platform software.
 * Copyright (C) 2005 - 2023 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 https://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 the camera frame
 *
*****************************************************************************/
#include <fstream>
#include <iostream>
#include <sstream>
#include <stdio.h>
#include <stdlib.h>
 
#include <visp3/core/vpConfig.h>
 
#if defined(VISP_HAVE_VIPER650) && defined(VISP_HAVE_REALSENSE) && defined(VISP_HAVE_X11)
 
#include <visp3/blob/vpDot2.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/core/vpPoint.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/robot/vpRobotViper650.h>
#include <visp3/sensor/vpRealSense.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>
 
#define L 0.05 // to deal with a 10cm by 10cm square
 
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
 
void compute_pose(std::vector<vpPoint> &point, std::vector<vpDot2> &dot, vpCameraParameters cam,
                  vpHomogeneousMatrix &cMo, bool init)
{
  vpPose pose;
 
  for (size_t i = 0; i < point.size(); i++) {
 
    double x = 0, y = 0;
    vpImagePoint cog = dot[i].getCog();
    vpPixelMeterConversion::convertPoint(cam, cog, x,
                                         y); // pixel to meter conversion
    point[i].set_x(x);                       // projection perspective          p
    point[i].set_y(y);
    pose.addPoint(point[i]);
  }
 
  if (init == true) {
    pose.computePose(vpPose::DEMENTHON_LAGRANGE_VIRTUAL_VS, cMo);
  }
  else {
    pose.computePose(vpPose::VIRTUAL_VS, cMo);
  }
}
 
int main()
{
  // Log file creation in /tmp/$USERNAME/log.dat
  // This file contains by line:
  // - the 6 computed camera 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
  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;
      return EXIT_FAILURE;
    }
  }
  std::string logfilename;
  logfilename = logdirname + "/log.dat";
 
  // Open the log file name
  std::ofstream flog(logfilename.c_str());
 
  try {
    vpRobotViper650 robot;
 
    // Load the end-effector to camera frame transformation from SR300-eMc.cnf
    // file
    robot.init(vpRobotViper650::TOOL_CUSTOM, "./SR300-eMc.cnf");
    vpHomogeneousMatrix eMc;
    robot.get_eMc(eMc);
    std::cout << "Camera extrinsic parameters (eMc): \n" << eMc << std::endl;
 
    vpServo task;
 
    vpImage<unsigned char> I;
 
    vpRealSense g;
    // Enable the RealSense device to acquire only color images with size
    // 640x480
    g.setEnableStream(rs::stream::color, true);
    g.setEnableStream(rs::stream::depth, false);
    g.setEnableStream(rs::stream::infrared, false);
    g.setEnableStream(rs::stream::infrared2, false);
    g.setStreamSettings(rs::stream::color, vpRealSense::vpRsStreamParams(640, 480, rs::format::rgba8, 30));
    g.open();
 
    // Update camera parameters
    vpCameraParameters cam =
      g.getCameraParameters(rs::stream::color, vpCameraParameters::perspectiveProjWithDistortion);
    std::cout << "Camera intrinsic parameters: \n" << cam << std::endl;
 
    g.acquire(I);
 
    vpDisplayX display(I, 100, 100, "Current image");
    vpDisplay::display(I);
    vpDisplay::flush(I);
 
    std::vector<vpDot2> dot(4);
 
    std::cout << "Click on the 4 dots clockwise starting from upper/left dot..." << std::endl;
 
    for (size_t i = 0; i < dot.size(); i++) {
      dot[i].setGraphics(true);
      dot[i].initTracking(I);
      vpImagePoint cog = dot[i].getCog();
      vpDisplay::displayCross(I, cog, 10, vpColor::blue);
      vpDisplay::flush(I);
    }
 
    // Sets the current position of the visual feature
    vpFeaturePoint p[4];
    for (size_t i = 0; i < dot.size(); i++)
      vpFeatureBuilder::create(p[i], cam, dot[i]); // retrieve x,y  of the vpFeaturePoint structure
 
    // Set the position of the square target in a frame which origin is
    // centered in the middle of the square
    std::vector<vpPoint> point(4);
    point[0].setWorldCoordinates(-L, -L, 0);
    point[1].setWorldCoordinates(L, -L, 0);
    point[2].setWorldCoordinates(L, L, 0);
    point[3].setWorldCoordinates(-L, L, 0);
 
    // Compute target initial pose
    vpHomogeneousMatrix cMo;
    compute_pose(point, dot, cam, cMo, true);
    std::cout << "Initial camera pose (cMo): \n" << cMo << std::endl;
 
    // Initialise a desired pose to compute s*, the desired 2D point features
    vpHomogeneousMatrix cMo_d(vpTranslationVector(0, 0, 0.5), // tz = 0.5 meter
                              vpRotationMatrix());            // no rotation
 
    // Sets the desired position of the 2D visual feature
    vpFeaturePoint pd[4];
    // Compute the desired position of the features from the desired pose
    for (int i = 0; i < 4; i++) {
      vpColVector cP, p;
      point[i].changeFrame(cMo_d, cP);
      point[i].projection(cP, p);
 
      pd[i].set_x(p[0]);
      pd[i].set_y(p[1]);
      pd[i].set_Z(cP[2]);
    }
 
    // We want to see a point on a point
    for (size_t i = 0; i < dot.size(); i++)
      task.addFeature(p[i], pd[i]);
 
    // Set the proportional gain
    task.setLambda(0.3);
 
    // Define the task
    // - we want an eye-in-hand control law
    // - camera velocities are computed
    task.setServo(vpServo::EYEINHAND_CAMERA);
    task.setInteractionMatrixType(vpServo::CURRENT, vpServo::PSEUDO_INVERSE);
    task.print();
 
    // Initialise the velocity control of the robot
    robot.setRobotState(vpRobot::STATE_VELOCITY_CONTROL);
 
    std::cout << "\nHit CTRL-C or click in the image to stop the loop...\n" << std::flush;
    for (;;) {
      // Acquire a new image from the camera
      g.acquire(I);
 
      // Display this image
      vpDisplay::display(I);
 
      try {
        // For each point...
        for (size_t i = 0; i < dot.size(); 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
          vpImagePoint cog = dot[i].getCog();
          vpDisplay::displayCross(I, cog, 10, vpColor::green);
        }
      }
      catch (...) {
        std::cout << "Error detected while tracking visual features.." << std::endl;
        break;
      }
 
      // During the servo, we compute the pose using a non linear method. For
      // the initial pose used in the non linear minimization we use the pose
      // computed at the previous iteration.
      compute_pose(point, dot, cam, cMo, false);
 
      for (size_t i = 0; i < dot.size(); i++) {
        // Update the point feature from the dot location
        vpFeatureBuilder::create(p[i], cam, dot[i]);
        // Set the feature Z coordinate from the pose
        vpColVector cP;
        point[i].changeFrame(cMo, cP);
 
        p[i].set_Z(cP[2]);
      }
 
      // Compute the visual servoing skew vector
      vpColVector 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::CAMERA_FRAME, v);
 
      // Save velocities applied to the robot in the log file
      // v[0], v[1], v[2] correspond to camera translation velocities in m/s
      // v[3], v[4], v[5] correspond to camera 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 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() << std::endl;
 
      vpDisplay::displayText(I, 10, 10, "Click to quit...", vpColor::red);
      if (vpDisplay::getClick(I, false))
        break;
 
      // Flush the display
      vpDisplay::flush(I);
 
      // std::cout << "\t\t || 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 650 robot connected to your computer..." << std::endl;
  return EXIT_SUCCESS;
}
#endif