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/* | ||
* Copyright (C) 2021 Open Source Robotics Foundation | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
* | ||
*/ | ||
//! [complete] | ||
#include <iostream> | ||
#include <chrono> | ||
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#include <ignition/math/Angle.hh> | ||
#include <ignition/math/Helpers.hh> | ||
#include <ignition/math/DiffDriveOdometry.hh> | ||
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int main(int argc, char **argv) | ||
{ | ||
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//! [Create a DiffDriveOdometry] | ||
ignition::math::DiffDriveOdometry odom; | ||
//! [Create an DiffDriveOdometry] | ||
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double wheelSeparation = 2.0; | ||
double wheelRadius = 0.5; | ||
double wheelCircumference = 2 * IGN_PI * wheelRadius; | ||
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// This is the linear distance traveled per degree of wheel rotation. | ||
double distPerDegree = wheelCircumference / 360.0; | ||
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// Setup the wheel parameters, and initialize | ||
odom.SetWheelParams(wheelSeparation, wheelRadius, wheelRadius); | ||
auto startTime = std::chrono::steady_clock::now(); | ||
odom.Init(startTime); | ||
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// Sleep for a little while, then update the odometry with the new wheel | ||
// position. | ||
std::cout << "--- Rotate both wheels by 1 degree. ---" << '\n'; | ||
auto time1 = startTime + std::chrono::milliseconds(100); | ||
odom.Update(IGN_DTOR(1.0), IGN_DTOR(1.0), time1); | ||
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std::cout << "\tLinear velocity:\t" << distPerDegree / 0.1 << " m/s" | ||
<< "\n\tOdom linear velocity:\t" << odom.LinearVelocity() << " m/s" | ||
<< std::endl; | ||
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std::cout << "Angular velocity should be zero since the \"robot\" is traveling\n" | ||
<< "in a straight line:\n" | ||
<< "\tOdom angular velocity:\t" | ||
<< *odom.AngularVelocity() << " rad/s" << std::endl; | ||
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// Sleep again, this time rotate the left wheel by 1 and the right wheel by 2 | ||
// degrees. | ||
std::cout << "--- This time rotate the left wheel by 1 and the right wheel " | ||
<< "by 2 degrees ---" | ||
<< std::endl; | ||
auto time2 = time1 + std::chrono::milliseconds(100); | ||
odom.Update(IGN_DTOR(2.0), IGN_DTOR(3.0), time2); | ||
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std::cout << "The heading should be the arc tangent of the linear distance\n" | ||
<< "traveled by the right wheel (the left wheel was stationary)\n" | ||
<< "divided by the wheel separation.\n" | ||
<< "\tHeading:\t\t" << atan2(distPerDegree, wheelSeparation) << " rad" | ||
<< "\n\tOdom Heading:\t\t" << *odom.Heading() << " rad" << '\n'; | ||
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// The X odom reading should have increased by the sine of the heading * | ||
// half the wheel separation. | ||
double xDistTraveled = | ||
sin(atan2(distPerDegree, wheelSeparation)) * wheelSeparation * 0.5; | ||
double prevXPos = distPerDegree * 2.0; | ||
std::cout << "\tX distance traveled:\t" << xDistTraveled + prevXPos << " m" | ||
<< "\n\tOdom X:\t\t" << odom.X() << " m" << std::endl; | ||
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// The Y odom reading should have increased by the cosine of the heading * | ||
// half the wheel separation. | ||
double yDistTraveled = (wheelSeparation * 0.5) - | ||
cos(atan2(distPerDegree, wheelSeparation)) * wheelSeparation * 0.5; | ||
double prevYPos = 0.0; | ||
std::cout << "\tY distance traveled:\t" << yDistTraveled + prevYPos << " m" | ||
<< "\n\tOdom Y:\t\t" << odom.Y() << " m" << std::endl; | ||
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std::cout << "Angular velocity should be the difference between the x and y\n" | ||
<< "distance traveled divided by the wheel separation divided by\n" | ||
<< "the seconds elapsed.\n" | ||
<< "\tAngular velocity:\t" | ||
<< ((xDistTraveled - yDistTraveled) / wheelSeparation) / 0.1 << " rad/s" | ||
<< "\n\tOdom angular velocity:\t" << *odom.AngularVelocity() << " rad/s" | ||
<< std::endl; | ||
} | ||
//! [complete] |
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# Copyright (C) 2021 Open Source Robotics Foundation | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License") | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http:#www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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# This example will only work if the Python interface library was compiled and | ||
# installed. | ||
# | ||
# Modify the PYTHONPATH environment variable to include the ignition math | ||
# library install path. For example, if you install to /usr: | ||
# | ||
# $ export PYTHONPATH=/usr/lib/python:$PYTHONPATH | ||
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import datetime | ||
import math | ||
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from ignition.math import Angle, DiffDriveOdometry | ||
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odom = DiffDriveOdometry() | ||
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wheelSeparation = 2.0 | ||
wheelRadius = 0.5 | ||
wheelCircumference = 2 * math.pi * wheelRadius | ||
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# This is the linear distance traveled per degree of wheel rotation. | ||
distPerDegree = wheelCircumference / 360.0 | ||
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# Setup the wheel parameters, and initialize | ||
odom.set_wheel_params(wheelSeparation, wheelRadius, wheelRadius) | ||
startTime = datetime.datetime.now() | ||
odom.init(datetime.timedelta()) | ||
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# Sleep for a little while, then update the odometry with the new wheel | ||
# position. | ||
print('--- Rotate both wheels by 1 degree. ---') | ||
time1 = startTime + datetime.timedelta(milliseconds=100) | ||
odom.update(Angle(1.0 * math.pi / 180), | ||
Angle(1.0 * math.pi / 180), | ||
time1 - startTime) | ||
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print('\tLinear velocity:\t{} m/s\n\tOdom linear velocity:\t{} m/s'. | ||
format(distPerDegree / 0.1, odom.linear_velocity())) | ||
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print('Angular velocity should be zero since the "robot" is traveling\n' + | ||
'in a straight line:\n' + | ||
'\tOdom angular velocity:\t{} rad/s' | ||
.format(odom.angular_velocity())) | ||
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# Sleep again, this time rotate the left wheel by 1 and the right wheel by 2 | ||
# degrees. | ||
print('--- This time rotate the left wheel by 1 and the right wheel ' + | ||
'by 2 degrees ---'); | ||
time2 = time1 + datetime.timedelta(milliseconds=100) | ||
odom.update(Angle(2.0 * math.pi / 180), | ||
Angle(3.0 * math.pi / 180), | ||
time2 - startTime) | ||
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print('The heading should be the arc tangent of the linear distance\n' + | ||
'traveled by the right wheel (the left wheel was stationary)\n' + | ||
'divided by the wheel separation.\n' + | ||
'\tHeading:\t\t{} rad\n\tOdom Heading:\t\t{} rad'.format( | ||
math.atan2(distPerDegree, wheelSeparation), | ||
odom.heading())) | ||
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# The X odom reading should have increased by the sine of the heading * | ||
# half the wheel separation. | ||
xDistTraveled = math.sin( | ||
math.atan2(distPerDegree, wheelSeparation)) * wheelSeparation * 0.5 | ||
prevXPos = distPerDegree * 2.0 | ||
print('\tX distance traveled:\t{} m\n\tOdom X:\t\t{} m'.format( | ||
xDistTraveled + prevXPos, odom.x())) | ||
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# The Y odom reading should have increased by the cosine of the heading * | ||
# half the wheel separation. | ||
yDistTraveled = (wheelSeparation * 0.5) - math.cos( | ||
math.atan2(distPerDegree, wheelSeparation)) * wheelSeparation * 0.5 | ||
prevYPos = 0.0 | ||
print('\tY distance traveled:\t{} m\n\tOdom Y:\t\t{} m'.format( | ||
yDistTraveled + prevYPos, odom.y())) | ||
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print('Angular velocity should be the difference between the x and y\n' + | ||
'distance traveled divided by the wheel separation divided by\n' + | ||
'the seconds elapsed.\n' + | ||
'\tAngular velocity:\t{} rad/s\n\tOdom angular velocity:\t{} rad/s'.format( | ||
((xDistTraveled - yDistTraveled) / wheelSeparation) / 0.1, | ||
odom.angular_velocity())) |
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# Copyright (C) 2021 Open Source Robotics Foundation | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License") | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http:#www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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# Modify the PYTHONPATH environment variable to include the ignition math | ||
# library install path. For example, if you install to /usr: | ||
# | ||
# $ export PYTHONPATH=/usr/lib/python:$PYTHONPATH | ||
# | ||
# You can plot the data generated by this program by following these | ||
# steps. | ||
# | ||
# 1. Run this program and save the output to a file: | ||
# python3 gauss_markov_process_example.py > plot.data | ||
# | ||
# 2. Use gnuplot to create a plot: | ||
# gnuplot -e 'set terminal jpeg; plot "plot.data" with lines' > out.jpg | ||
import datetime | ||
from ignition.math import GaussMarkovProcess | ||
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# Create the process with: | ||
# * Start value of 20.2 | ||
# * Theta (rate at which the process should approach the mean) of 0.1 | ||
# * Mu (mean value) 0. | ||
# * Sigma (volatility) of 0.5. | ||
gmp = GaussMarkovProcess(20.2, 0.1, 0, 0.5); | ||
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dt = datetime.timedelta(milliseconds=100) | ||
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# This process should decrease toward the mean value of 0. | ||
# With noise of 0.5, the process will walk a bit. | ||
for i in range(1000): | ||
value = gmp.update(dt); | ||
print(value); |
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# Copyright (C) 2021 Open Source Robotics Foundation | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License") | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http:#www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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# Modify the RUBYLIB environment variable to include the ignition math | ||
# library install path. For example, if you install to /user: | ||
# | ||
# $ export RUBYLIB=/usr/lib/ruby:$RUBYLIB | ||
# | ||
# You can plot the data generated by this program by following these | ||
# steps. | ||
# | ||
# 1. Run this program and save the output to a file: | ||
# ruby gauss_markov_process_example.rb > plot.data | ||
# | ||
# 2. Use gnuplot to create a plot: | ||
# gnuplot -e 'set terminal jpeg; plot "plot.data" with lines' > out.jpg | ||
require 'ignition/math' | ||
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# Create the process with: | ||
# * Start value of 20.2 | ||
# * Theta (rate at which the process should approach the mean) of 0.1 | ||
# * Mu (mean value) 0. | ||
# * Sigma (volatility) of 0.5. | ||
gmp = Ignition::Math::GaussMarkovProcess.new(20.2, 0.1, 0, 0.5); | ||
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# This process should decrease toward the mean value of 0. | ||
# With noise of 0.5, the process will walk a bit. | ||
for i in 0..1000 do | ||
value = gmp.Update(0.1); | ||
puts(value); | ||
end |
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