Visual Servoing Platform version 3.7.0
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servoViper850Point2DCamVelocityKalman.cpp

Example of eye-in-hand control law. We control here a real robot, the ADEPT Viper 850 robot (arm, with 6 degrees of freedom). The velocity is computed in the camera frame. The visual feature is the center of gravity of a point. We use here a linear Kalman filter with a constant velocity state model to estimate the moving target motion.

/*
* ViSP, open source Visual Servoing Platform software.
* Copyright (C) 2005 - 2025 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 camera frame
*/
#include <visp3/core/vpConfig.h>
#include <visp3/core/vpDebug.h> // Debug trace
#include <fstream>
#include <iostream>
#include <sstream>
#include <stdio.h>
#include <stdlib.h>
#if (defined(VISP_HAVE_VIPER850) && defined(VISP_HAVE_DC1394))
#include <visp3/blob/vpDot2.h>
#include <visp3/core/vpDisplay.h>
#include <visp3/core/vpException.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpImage.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/core/vpLinearKalmanFilterInstantiation.h>
#include <visp3/core/vpMath.h>
#include <visp3/core/vpPoint.h>
#include <visp3/gui/vpDisplayFactory.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/robot/vpRobotViper850.h>
#include <visp3/sensor/vp1394TwoGrabber.h>
#include <visp3/visual_features/vpFeatureBuilder.h>
#include <visp3/visual_features/vpFeaturePoint.h>
#include <visp3/vs/vpAdaptiveGain.h>
#include <visp3/vs/vpServo.h>
#include <visp3/vs/vpServoDisplay.h>
int main()
{
#ifdef ENABLE_VISP_NAMESPACE
using namespace VISP_NAMESPACE_NAME;
#endif
// 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 measured joint velocities (m/s, rad/s)
// - the 6 measured joint positions (m, rad)
// - the 2 values of s - s*
std::string username;
// Get the user login name
// 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
}
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());
vpServo task;
#if (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
std::shared_ptr<vpDisplay> display;
#else
vpDisplay *display = nullptr;
#endif
try {
// Initialize linear Kalman filter
// Initialize the kalman filter
unsigned int nsignal = 2; // The two values of dedt
double rho = 0.3;
vpColVector sigma_state;
vpColVector sigma_measure(nsignal);
unsigned int state_size = 0; // Kalman state vector size
state_size = kalman.getStateSize();
sigma_state.resize(state_size * nsignal);
sigma_state = 0.00001; // Same state variance for all signals
sigma_measure = 0.05; // Same measure variance for all the signals
double dummy = 0; // non used parameter dt for the velocity state model
kalman.initFilter(nsignal, sigma_state, sigma_measure, rho, dummy);
// Initialize the robot
bool reset = false;
vp1394TwoGrabber g(reset);
#if 1
#else
#endif
g.open(I);
double Tloop = 1. / 80.f;
g.getFramerate(fps);
switch (fps) {
Tloop = 1.f / 15.f;
break;
Tloop = 1.f / 30.f;
break;
Tloop = 1.f / 60.f;
break;
Tloop = 1.f / 120.f;
break;
default:
break;
}
#if (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
display = vpDisplayFactory::createDisplay(I, static_cast<int>(100 + I.getWidth() + 30), 200, "Current image");
#else
display = vpDisplayFactory::allocateDisplay(I, static_cast<int>(100 + I.getWidth() + 30), 200, "Current image");
#endif
vpDot2 dot;
dot.setGraphics(true);
for (int i = 0; i < 10; i++)
g.acquire(I);
std::cout << "Click on a dot..." << std::endl;
dot.initTracking(I);
cog = dot.getCog();
// Update camera parameters
robot.getCameraParameters(cam, I);
// sets the current position of the visual feature
// retrieve x,y and Z of the vpPoint structure
// sets the desired position of the visual feature
pd.buildFrom(0, 0, 1);
// define the task
// - we want an eye-in-hand control law
// - robot is controlled in the camera frame
task.setServo(vpServo::EYEINHAND_CAMERA);
task.setInteractionMatrixType(vpServo::DESIRED, vpServo::PSEUDO_INVERSE);
// - we want to see a point on a point
task.addFeature(p, pd);
// - set the constant gain
lambda.initStandard(4, 0.2, 30);
task.setLambda(lambda);
// Display task information
task.print();
// Now the robot will be controlled in velocity
robot.setRobotState(vpRobot::STATE_VELOCITY_CONTROL);
std::cout << "\nHit CTRL-C to stop the loop...\n" << std::flush;
vpColVector v, v1, v2;
int iter = 0;
vpColVector vm(6);
double t_0, t_1, Tv;
vpColVector err(2), err_1(2);
vpColVector dedt_filt(2), dedt_mes(2);
dc1394video_frame_t *frame = nullptr;
for (;;) {
try {
t_0 = vpTime::measureTimeMs(); // t_0: current time
// Update loop time in second
Tv = static_cast<double>(t_0 - t_1) / 1000.0;
// Update time for next iteration
t_1 = t_0;
vm = robot.getVelocity(vpRobot::CAMERA_FRAME);
// Acquire a new image from the camera
frame = g.dequeue(I);
// Display this image
// Achieve the tracking of the dot in the image
dot.track(I);
// Get the dot cog
cog = dot.getCog();
// Display a green cross at the center of gravity position in the
// image
// Update the point feature from the dot location
// Compute the visual servoing skew vector
v1 = task.computeControlLaw();
// Get the error ||s-s*||
err = task.getError();
if (iter == 0) {
err_1 = 0;
dedt_mes = 0;
}
else {
vpMatrix J1 = task.getTaskJacobian();
dedt_mes = (err - err_1) / (Tv)-J1 * vm;
err_1 = err;
}
// Filter de/dt
if (iter < 2)
dedt_mes = 0;
kalman.filter(dedt_mes);
// Get the filtered values
for (unsigned int i = 0; i < nsignal; i++) {
dedt_filt[i] = kalman.Xest[i * state_size];
}
if (iter < 2)
dedt_filt = 0;
vpMatrix J1p = task.getTaskJacobianPseudoInverse();
v2 = -J1p * dedt_filt;
// Update the robot camera velocity
v = v1 + v2;
// Display the current and desired feature points in the image display
vpServoDisplay::display(task, cam, I);
// Apply the computed camera velocities to the robot
robot.setVelocity(vpRobot::CAMERA_FRAME, v);
iter++;
// Synchronize the loop with the image frame rate
vpTime::wait(t_0, 1000. * Tloop);
// Release the ring buffer used for the last image to start a new acq
g.enqueue(frame);
}
catch (...) {
std::cout << "Tracking failed... Stop the robot." << std::endl;
v = 0;
// Stop robot
robot.setVelocity(vpRobot::CAMERA_FRAME, v);
#if (VISP_CXX_STANDARD < VISP_CXX_STANDARD_11)
if (display != nullptr) {
delete display;
}
#endif
return EXIT_FAILURE;
}
// 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
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
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()).t() << std::endl; // s-s* for point
// Flush the display
}
flog.close(); // Close the log file
// Display task information
task.print();
#if (VISP_CXX_STANDARD < VISP_CXX_STANDARD_11)
if (display != nullptr) {
delete display;
}
#endif
return EXIT_SUCCESS;
}
catch (const vpException &e) {
flog.close(); // Close the log file
std::cout << "Catch an exception: " << e.getMessage() << std::endl;
#if (VISP_CXX_STANDARD < VISP_CXX_STANDARD_11)
if (display != nullptr) {
delete display;
}
#endif
return EXIT_FAILURE;
}
}
#else
int main()
{
std::cout << "You do not have an Viper 850 robot connected to your computer..." << std::endl;
return EXIT_SUCCESS;
}
#endif
Class for firewire ieee1394 video devices using libdc1394-2.x api.
void getFramerate(vp1394TwoFramerateType &fps)
void acquire(vpImage< unsigned char > &I)
void setColorCoding(vp1394TwoColorCodingType coding)
void setVideoMode(vp1394TwoVideoModeType videomode)
void enqueue(dc1394video_frame_t *frame)
void setFramerate(vp1394TwoFramerateType fps)
dc1394video_frame_t * dequeue()
void open(vpImage< unsigned char > &I)
Adaptive gain computation.
void initStandard(double gain_at_zero, double gain_at_infinity, double slope_at_zero)
Generic class defining intrinsic camera parameters.
Implementation of column vector and the associated operations.
vpRowVector t() const
void resize(unsigned int i, bool flagNullify=true)
static const vpColor blue
Definition vpColor.h:204
static const vpColor green
Definition vpColor.h:201
Class that defines generic functionalities for display.
Definition vpDisplay.h:171
static void display(const vpImage< unsigned char > &I)
static void displayCross(const vpImage< unsigned char > &I, const vpImagePoint &ip, unsigned int size, const vpColor &color, unsigned int thickness=1)
static void flush(const vpImage< unsigned char > &I)
This tracker is meant to track a blob (connex pixels with same gray level) on a vpImage.
Definition vpDot2.h:127
void track(const vpImage< unsigned char > &I, bool canMakeTheWindowGrow=true)
Definition vpDot2.cpp:441
void setGraphics(bool activate)
Definition vpDot2.h:320
vpImagePoint getCog() const
Definition vpDot2.h:183
void initTracking(const vpImage< unsigned char > &I, unsigned int size=0)
Definition vpDot2.cpp:263
error that can be emitted by ViSP classes.
Definition vpException.h:60
static void create(vpFeaturePoint &s, const vpCameraParameters &cam, const vpDot &d)
Class that defines a 2D point visual feature which is composed by two parameters that are the cartes...
vpFeaturePoint & buildFrom(const double &x, const double &y, const double &Z)
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
Definition of the vpImage class member functions.
Definition vpImage.h:131
static bool checkDirectory(const std::string &dirname)
static std::string getUserName()
static void makeDirectory(const std::string &dirname)
This class provides an implementation of some specific linear Kalman filters.
Implementation of a matrix and operations on matrices.
Definition vpMatrix.h:175
Control of Irisa's Viper S850 robot named Viper850.
@ ARTICULAR_FRAME
Definition vpRobot.h:77
@ CAMERA_FRAME
Definition vpRobot.h:81
@ STATE_VELOCITY_CONTROL
Initialize the velocity controller.
Definition vpRobot.h:64
static void display(const vpServo &s, const vpCameraParameters &cam, const vpImage< unsigned char > &I, vpColor currentColor=vpColor::green, vpColor desiredColor=vpColor::red, unsigned int thickness=1)
@ EYEINHAND_CAMERA
Definition vpServo.h:176
@ PSEUDO_INVERSE
Definition vpServo.h:250
@ DESIRED
Definition vpServo.h:223
std::shared_ptr< vpDisplay > createDisplay()
Return a smart pointer vpDisplay specialization if a GUI library is available or nullptr otherwise.
vpDisplay * allocateDisplay()
Return a newly allocated vpDisplay specialization if a GUI library is available or nullptr otherwise.
VISP_EXPORT double measureTimeMs()
VISP_EXPORT int wait(double t0, double t)