Loading the model

Python

import pinocchio
from sys import argv
from os.path import dirname, join, abspath
 
# This path refers to Pinocchio source code but you can define your own directory here.
pinocchio_model_dir = join(dirname(dirname(str(abspath(__file__)))), "models")
 
# You should change here to set up your own URDF file or just pass it as an argument of this example.
urdf_filename = pinocchio_model_dir + '/example-robot-data/robots/ur_description/urdf/ur5_robot.urdf' if len(argv)<2 else argv[1]
 
# Load the urdf model
model    = pinocchio.buildModelFromUrdf(urdf_filename)
print('model name: ' + model.name)
 
# Create data required by the algorithms
data     = model.createData()
 
# Sample a random configuration
q        = pinocchio.randomConfiguration(model)
print('q: %s' % q.T)
 
# Perform the forward kinematics over the kinematic tree
pinocchio.forwardKinematics(model,data,q)
 
# Print out the placement of each joint of the kinematic tree
for name, oMi in zip(model.names, data.oMi):
    print(("{:<24} : {: .2f} {: .2f} {: .2f}"
          .format( name, *oMi.translation.T.flat )))

C++

#include "pinocchio/parsers/urdf.hpp"
 
#include "pinocchio/algorithm/joint-configuration.hpp"
#include "pinocchio/algorithm/kinematics.hpp"
 
#include <iostream>
 
// PINOCCHIO_MODEL_DIR is defined by the CMake but you can define your own directory here.
#ifndef PINOCCHIO_MODEL_DIR
  #define PINOCCHIO_MODEL_DIR "path_to_the_model_dir"
#endif
 
int main(int argc, char ** argv)
{
  using namespace pinocchio;
  
  // You should change here to set up your own URDF file or just pass it as an argument of this example.
  const std::string urdf_filename = (argc<=1) ? PINOCCHIO_MODEL_DIR + std::string("/example-robot-data/robots/ur_description/urdf/ur5_robot.urdf") : argv[1];
  
  // Load the urdf model
  Model model;
  pinocchio::urdf::buildModel(urdf_filename,model);
  std::cout << "model name: " << model.name << std::endl;
  
  // Create data required by the algorithms
  Data data(model);
  
  // Sample a random configuration
  Eigen::VectorXd q = randomConfiguration(model);
  std::cout << "q: " << q.transpose() << std::endl;
 
  // Perform the forward kinematics over the kinematic tree
  forwardKinematics(model,data,q);
 
  // Print out the placement of each joint of the kinematic tree
  for(JointIndex joint_id = 0; joint_id < (JointIndex)model.njoints; ++joint_id)
    std::cout << std::setw(24) << std::left
              << model.names[joint_id] << ": "
              << std::fixed << std::setprecision(2)
              << data.oMi[joint_id].translation().transpose()
              << std::endl;
}