servoFrankaPBVS.cpp

Example of eye-in-hand image-based control law. We control here a real robot, the Franka Emika Panda robot (arm with 7 degrees of freedom). The velocity is computed in the camera frame. The inverse jacobian that converts cartesian velocities in joint velocities is implemented in the robot low level controller. Visual features correspond to the 3D pose of the target (an AprilTag) in the camera frame.

The device used to acquire images is a Realsense D435 device.

Camera extrinsic (eMc) parameters are set by default to a value that will not match Your configuration. Use –eMc command line option to read the values from a file. This file could be obtained following extrinsic camera calibration tutorial: https://visp-doc.inria.fr/doxygen/visp-daily/tutorial-calibration-extrinsic.html

Camera intrinsic parameters are retrieved from the Realsense SDK.

The target is an AprilTag that is by default 12cm large. To print your own tag, see https://visp-doc.inria.fr/doxygen/visp-daily/tutorial-detection-apriltag.html You can specify the size of your tag using –tag_size command line option.

/****************************************************************************
 *
 * 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:
 * Data acquisition with RealSense RGB-D sensor and Franka robot.
 *
*****************************************************************************/
 
#include <iostream>
 
#include <visp3/core/vpCameraParameters.h>
#include <visp3/core/vpConfig.h>
#include <visp3/detection/vpDetectorAprilTag.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/gui/vpPlot.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/robot/vpRobotFranka.h>
#include <visp3/sensor/vpRealSense2.h>
#include <visp3/visual_features/vpFeatureThetaU.h>
#include <visp3/visual_features/vpFeatureTranslation.h>
#include <visp3/vs/vpServo.h>
#include <visp3/vs/vpServoDisplay.h>
 
#if defined(VISP_HAVE_REALSENSE2) && (defined(VISP_HAVE_X11) || defined(VISP_HAVE_GDI)) && defined(VISP_HAVE_FRANKA)
 
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
 
void display_point_trajectory(const vpImage<unsigned char> &I, const std::vector<vpImagePoint> &vip,
                              std::vector<vpImagePoint> *traj_vip)
{
  for (size_t i = 0; i < vip.size(); i++) {
    if (traj_vip[i].size()) {
      // Add the point only if distance with the previous > 1 pixel
      if (vpImagePoint::distance(vip[i], traj_vip[i].back()) > 1.) {
        traj_vip[i].push_back(vip[i]);
      }
    }
    else {
      traj_vip[i].push_back(vip[i]);
    }
  }
  for (size_t i = 0; i < vip.size(); i++) {
    for (size_t j = 1; j < traj_vip[i].size(); j++) {
      vpDisplay::displayLine(I, traj_vip[i][j - 1], traj_vip[i][j], vpColor::green, 2);
    }
  }
}
 
int main(int argc, char **argv)
{
  double opt_tagSize = 0.120;
  std::string opt_robot_ip = "192.168.1.1";
  std::string opt_eMc_filename = "";
  bool display_tag = true;
  int opt_quad_decimate = 2;
  bool opt_verbose = false;
  bool opt_plot = false;
  bool opt_adaptive_gain = false;
  bool opt_task_sequencing = false;
  double convergence_threshold_t = 0.0005; // Value in [m]
  double convergence_threshold_tu = 0.5;   // Value in [deg]
 
  for (int i = 1; i < argc; i++) {
    if (std::string(argv[i]) == "--tag_size" && i + 1 < argc) {
      opt_tagSize = std::stod(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--ip" && i + 1 < argc) {
      opt_robot_ip = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--eMc" && i + 1 < argc) {
      opt_eMc_filename = std::string(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--verbose") {
      opt_verbose = true;
    }
    else if (std::string(argv[i]) == "--plot") {
      opt_plot = true;
    }
    else if (std::string(argv[i]) == "--adaptive_gain") {
      opt_adaptive_gain = true;
    }
    else if (std::string(argv[i]) == "--task_sequencing") {
      opt_task_sequencing = true;
    }
    else if (std::string(argv[i]) == "--quad_decimate" && i + 1 < argc) {
      opt_quad_decimate = std::stoi(argv[i + 1]);
    }
    else if (std::string(argv[i]) == "--no-convergence-threshold") {
      convergence_threshold_t = 0.;
      convergence_threshold_tu = 0.;
    }
    else if (std::string(argv[i]) == "--help" || std::string(argv[i]) == "-h") {
      std::cout
        << argv[0] << " [--ip <default " << opt_robot_ip << ">] [--tag_size <marker size in meter; default "
        << opt_tagSize << ">] [--eMc <eMc extrinsic file>] "
        << "[--quad_decimate <decimation; default " << opt_quad_decimate
        << ">] [--adaptive_gain] [--plot] [--task_sequencing] [--no-convergence-threshold] [--verbose] [--help] [-h]"
        << "\n";
      return EXIT_SUCCESS;
    }
  }
 
  vpRobotFranka robot;
 
  try {
    robot.connect(opt_robot_ip);
 
    vpRealSense2 rs;
    rs2::config config;
    unsigned int width = 640, height = 480;
    config.enable_stream(RS2_STREAM_COLOR, 640, 480, RS2_FORMAT_RGBA8, 30);
    config.enable_stream(RS2_STREAM_DEPTH, 640, 480, RS2_FORMAT_Z16, 30);
    config.enable_stream(RS2_STREAM_INFRARED, 640, 480, RS2_FORMAT_Y8, 30);
    rs.open(config);
 
    // Get camera extrinsics
    vpPoseVector ePc;
    // Set camera extrinsics default values
    ePc[0] = 0.0337731;
    ePc[1] = -0.00535012;
    ePc[2] = -0.0523339;
    ePc[3] = -0.247294;
    ePc[4] = -0.306729;
    ePc[5] = 1.53055;
 
    // If provided, read camera extrinsics from --eMc <file>
    if (!opt_eMc_filename.empty()) {
      ePc.loadYAML(opt_eMc_filename, ePc);
    }
    else {
      std::cout << "Warning, opt_eMc_filename is empty! Use hard coded values."
        << "\n";
    }
    vpHomogeneousMatrix eMc(ePc);
    std::cout << "eMc:\n" << eMc << "\n";
 
    // Get camera intrinsics
    vpCameraParameters cam =
      rs.getCameraParameters(RS2_STREAM_COLOR, vpCameraParameters::perspectiveProjWithDistortion);
    std::cout << "cam:\n" << cam << "\n";
 
    vpImage<unsigned char> I(height, width);
 
#if defined(VISP_HAVE_X11)
    vpDisplayX dc(I, 10, 10, "Color image");
#elif defined(VISP_HAVE_GDI)
    vpDisplayGDI dc(I, 10, 10, "Color image");
#endif
 
    vpDetectorAprilTag::vpAprilTagFamily tagFamily = vpDetectorAprilTag::TAG_36h11;
    vpDetectorAprilTag::vpPoseEstimationMethod poseEstimationMethod = vpDetectorAprilTag::HOMOGRAPHY_VIRTUAL_VS;
    // vpDetectorAprilTag::vpPoseEstimationMethod poseEstimationMethod = vpDetectorAprilTag::BEST_RESIDUAL_VIRTUAL_VS;
    vpDetectorAprilTag detector(tagFamily);
    detector.setAprilTagPoseEstimationMethod(poseEstimationMethod);
    detector.setDisplayTag(display_tag);
    detector.setAprilTagQuadDecimate(opt_quad_decimate);
 
    // Servo
    vpHomogeneousMatrix cdMc, cMo, oMo;
 
    // Desired pose to reach
    vpHomogeneousMatrix cdMo(vpTranslationVector(0, 0, opt_tagSize * 3), // 3 times tag with along camera z axis
                             vpRotationMatrix({ 1, 0, 0, 0, -1, 0, 0, 0, -1 }));
 
    cdMc = cdMo * cMo.inverse();
    vpFeatureTranslation t(vpFeatureTranslation::cdMc);
    vpFeatureThetaU tu(vpFeatureThetaU::cdRc);
    t.buildFrom(cdMc);
    tu.buildFrom(cdMc);
 
    vpFeatureTranslation td(vpFeatureTranslation::cdMc);
    vpFeatureThetaU tud(vpFeatureThetaU::cdRc);
 
    vpServo task;
    task.addFeature(t, td);
    task.addFeature(tu, tud);
    task.setServo(vpServo::EYEINHAND_CAMERA);
    task.setInteractionMatrixType(vpServo::CURRENT);
 
    if (opt_adaptive_gain) {
      vpAdaptiveGain lambda(1.5, 0.4, 30); // lambda(0)=4, lambda(oo)=0.4 and lambda'(0)=30
      task.setLambda(lambda);
    }
    else {
      task.setLambda(0.5);
    }
 
    vpPlot *plotter = nullptr;
    int iter_plot = 0;
 
    if (opt_plot) {
      plotter = new vpPlot(2, static_cast<int>(250 * 2), 500, static_cast<int>(I.getWidth()) + 80, 10,
                           "Real time curves plotter");
      plotter->setTitle(0, "Visual features error");
      plotter->setTitle(1, "Camera velocities");
      plotter->initGraph(0, 6);
      plotter->initGraph(1, 6);
      plotter->setLegend(0, 0, "error_feat_tx");
      plotter->setLegend(0, 1, "error_feat_ty");
      plotter->setLegend(0, 2, "error_feat_tz");
      plotter->setLegend(0, 3, "error_feat_theta_ux");
      plotter->setLegend(0, 4, "error_feat_theta_uy");
      plotter->setLegend(0, 5, "error_feat_theta_uz");
      plotter->setLegend(1, 0, "vc_x");
      plotter->setLegend(1, 1, "vc_y");
      plotter->setLegend(1, 2, "vc_z");
      plotter->setLegend(1, 3, "wc_x");
      plotter->setLegend(1, 4, "wc_y");
      plotter->setLegend(1, 5, "wc_z");
    }
 
    bool final_quit = false;
    bool has_converged = false;
    bool send_velocities = false;
    bool servo_started = false;
    std::vector<vpImagePoint> *traj_vip = nullptr; // To memorize point trajectory
 
    static double t_init_servo = vpTime::measureTimeMs();
 
    robot.set_eMc(eMc); // Set location of the camera wrt end-effector frame
    robot.setRobotState(vpRobot::STATE_VELOCITY_CONTROL);
 
    while (!has_converged && !final_quit) {
      double t_start = vpTime::measureTimeMs();
 
      rs.acquire(I);
 
      vpDisplay::display(I);
 
      std::vector<vpHomogeneousMatrix> cMo_vec;
      detector.detect(I, opt_tagSize, cam, cMo_vec);
 
      std::stringstream ss;
      ss << "Left click to " << (send_velocities ? "stop the robot" : "servo the robot") << ", right click to quit.";
      vpDisplay::displayText(I, 20, 20, ss.str(), vpColor::red);
 
      vpColVector v_c(6);
 
      // Only one tag is detected
      if (cMo_vec.size() == 1) {
        cMo = cMo_vec[0];
 
        static bool first_time = true;
        if (first_time) {
          // Introduce security wrt tag positioning in order to avoid PI rotation
          std::vector<vpHomogeneousMatrix> v_oMo(2), v_cdMc(2);
          v_oMo[1].buildFrom(0, 0, 0, 0, 0, M_PI);
          for (size_t i = 0; i < 2; i++) {
            v_cdMc[i] = cdMo * v_oMo[i] * cMo.inverse();
          }
          if (std::fabs(v_cdMc[0].getThetaUVector().getTheta()) < std::fabs(v_cdMc[1].getThetaUVector().getTheta())) {
            oMo = v_oMo[0];
          }
          else {
            std::cout << "Desired frame modified to avoid PI rotation of the camera" << std::endl;
            oMo = v_oMo[1]; // Introduce PI rotation
          }
        }
 
        // Update visual features
        cdMc = cdMo * oMo * cMo.inverse();
        t.buildFrom(cdMc);
        tu.buildFrom(cdMc);
 
        if (opt_task_sequencing) {
          if (!servo_started) {
            if (send_velocities) {
              servo_started = true;
            }
            t_init_servo = vpTime::measureTimeMs();
          }
          v_c = task.computeControlLaw((vpTime::measureTimeMs() - t_init_servo) / 1000.);
        }
        else {
          v_c = task.computeControlLaw();
        }
 
        // Display desired and current pose features
        vpDisplay::displayFrame(I, cdMo * oMo, cam, opt_tagSize / 1.5, vpColor::yellow, 2);
        vpDisplay::displayFrame(I, cMo, cam, opt_tagSize / 2, vpColor::none, 3);
        // Get tag corners
        std::vector<vpImagePoint> vip = detector.getPolygon(0);
        // Get the tag cog corresponding to the projection of the tag frame in the image
        vip.push_back(detector.getCog(0));
        // Display the trajectory of the points
        if (first_time) {
          traj_vip = new std::vector<vpImagePoint>[vip.size()];
        }
        display_point_trajectory(I, vip, traj_vip);
 
        if (opt_plot) {
          plotter->plot(0, iter_plot, task.getError());
          plotter->plot(1, iter_plot, v_c);
          iter_plot++;
        }
 
        if (opt_verbose) {
          std::cout << "v_c: " << v_c.t() << std::endl;
        }
 
        vpTranslationVector cd_t_c = cdMc.getTranslationVector();
        vpThetaUVector cd_tu_c = cdMc.getThetaUVector();
        double error_tr = sqrt(cd_t_c.sumSquare());
        double error_tu = vpMath::deg(sqrt(cd_tu_c.sumSquare()));
 
        ss.str("");
        ss << "error_t: " << error_tr;
        vpDisplay::displayText(I, 20, static_cast<int>(I.getWidth()) - 150, ss.str(), vpColor::red);
        ss.str("");
        ss << "error_tu: " << error_tu;
        vpDisplay::displayText(I, 40, static_cast<int>(I.getWidth()) - 150, ss.str(), vpColor::red);
 
        if (opt_verbose)
          std::cout << "error translation: " << error_tr << " ; error rotation: " << error_tu << std::endl;
 
        if (error_tr < convergence_threshold_t && error_tu < convergence_threshold_tu) {
          has_converged = true;
          std::cout << "Servo task has converged" << std::endl;
          ;
          vpDisplay::displayText(I, 100, 20, "Servo task has converged", vpColor::red);
        }
 
        if (first_time) {
          first_time = false;
        }
      } // end if (cMo_vec.size() == 1)
      else {
        v_c = 0;
      }
 
      if (!send_velocities) {
        v_c = 0;
      }
 
      // Send to the robot
      robot.setVelocity(vpRobot::CAMERA_FRAME, v_c);
 
      ss.str("");
      ss << "Loop time: " << vpTime::measureTimeMs() - t_start << " ms";
      vpDisplay::displayText(I, 40, 20, ss.str(), vpColor::red);
      vpDisplay::flush(I);
 
      vpMouseButton::vpMouseButtonType button;
      if (vpDisplay::getClick(I, button, false)) {
        switch (button) {
        case vpMouseButton::button1:
          send_velocities = !send_velocities;
          break;
 
        case vpMouseButton::button3:
          final_quit = true;
          v_c = 0;
          break;
 
        default:
          break;
        }
      }
    }
    std::cout << "Stop the robot " << std::endl;
    robot.setRobotState(vpRobot::STATE_STOP);
 
    if (opt_plot && plotter != nullptr) {
      delete plotter;
      plotter = nullptr;
    }
 
    if (!final_quit) {
      while (!final_quit) {
        rs.acquire(I);
        vpDisplay::display(I);
 
        vpDisplay::displayText(I, 20, 20, "Click to quit the program.", vpColor::red);
        vpDisplay::displayText(I, 40, 20, "Visual servo converged.", vpColor::red);
 
        if (vpDisplay::getClick(I, false)) {
          final_quit = true;
        }
 
        vpDisplay::flush(I);
      }
    }
 
    if (traj_vip) {
      delete[] traj_vip;
    }
  }
  catch (const vpException &e) {
    std::cout << "ViSP exception: " << e.what() << std::endl;
    std::cout << "Stop the robot " << std::endl;
    robot.setRobotState(vpRobot::STATE_STOP);
    return EXIT_FAILURE;
  }
  catch (const franka::NetworkException &e) {
    std::cout << "Franka network exception: " << e.what() << std::endl;
    std::cout << "Check if you are connected to the Franka robot"
      << " or if you specified the right IP using --ip command line option set by default to 192.168.1.1. "
      << std::endl;
    return EXIT_FAILURE;
  }
  catch (const std::exception &e) {
    std::cout << "Franka exception: " << e.what() << std::endl;
    return EXIT_FAILURE;
  }
 
  return EXIT_SUCCESS;
}
#else
int main()
{
#if !defined(VISP_HAVE_REALSENSE2)
  std::cout << "Install librealsense-2.x" << std::endl;
#endif
#if !defined(VISP_HAVE_FRANKA)
  std::cout << "Install libfranka." << std::endl;
#endif
  return EXIT_SUCCESS;
}
#endif