Example 12: Custom Vector Type

C++

#include <iostream>
 
#include <ruckig/ruckig.hpp>
 
 
template<class T, size_t DOFs>
class MinimalVector {
    T data[DOFs];
 
public:
    MinimalVector() {}
    MinimalVector(std::initializer_list<T> a) {
        std::copy_n(a.begin(), DOFs, std::begin(data));
    }
 
    T operator[](size_t i) const {
        return data[i];
    }
 
    T& operator[](size_t i) {
        return data[i];
    }
 
    size_t size() const {
        return DOFs;
    }
 
    bool operator==(const MinimalVector<T, DOFs>& rhs) const {
        for (size_t dof = 0; dof < DOFs; ++dof) {
            if (data[dof] != rhs[dof]) {
                return false;
            }
        }
        return true;
    }
};
 
 
using namespace ruckig;
 
int main() {
    // Create instances: the Ruckig OTG as well as input and output parameters
    Ruckig<3, MinimalVector> otg {0.01};  // control cycle
    InputParameter<3, MinimalVector> input;
    OutputParameter<3, MinimalVector> output;
 
    // Set input parameters
    input.current_position = {0.0, 0.0, 0.5};
    input.current_velocity = {0.0, -2.2, -0.5};
    input.current_acceleration = {0.0, 2.5, -0.5};
 
    input.target_position = {5.0, -2.0, -3.5};
    input.target_velocity = {0.0, -0.5, -2.0};
    input.target_acceleration = {0.0, 0.0, 0.5};
 
    input.max_velocity = {3.0, 1.0, 3.0};
    input.max_acceleration = {3.0, 2.0, 1.0};
    input.max_jerk = {4.0, 3.0, 2.0};
 
    // Generate the trajectory within the control loop
    std::cout << "t | p1 | p2 | p3" << std::endl;
    while (otg.update(input, output) == Result::Working) {
        auto& p = output.new_position;
        std::cout << output.time << " " << p[0] << " " << p[1] << " " << p[2] << " " << std::endl;
 
        output.pass_to_input(input);
    }
 
    std::cout << "Trajectory duration: " << output.trajectory.get_duration() << " [s]." << std::endl;
}

Python

# ---
#
# Nothing to see here, as the custom vector types don't affect the Python version.
# 
# ---

Output Trajectory