Ruckig 0.19.7
Motion Generation for Robots and Machines
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(12) Custom Vector Type
  • C++
    #include <algorithm>
    #include <memory>
    #include "plotter.hpp"
    template<class T, size_t DOFs>
    class MinimalDofsVector {
    std::unique_ptr<T[]> data_;
    size_t n_ = 0;
    public:
    MinimalDofsVector() { }
    MinimalDofsVector(std::initializer_list<T> a): data_(new T[a.size()]), n_(a.size()) {
    std::copy_n(a.begin(), n_, data_.get());
    }
    MinimalDofsVector(const MinimalDofsVector& o): data_(o.n_ ? new T[o.n_] : nullptr), n_(o.n_) {
    std::copy_n(o.data_.get(), n_, data_.get());
    }
    MinimalDofsVector& operator=(MinimalDofsVector o) {
    std::swap(data_, o.data_);
    std::swap(n_, o.n_);
    return *this;
    }
    // Data access
    T* data() { return data_.get(); }
    const T* data() const { return data_.get(); }
    T operator[](size_t i) const { return data_[i]; }
    T& operator[](size_t i) { return data_[i]; }
    size_t size() const { return n_; }
    void resize(size_t n) {
    auto fresh = std::make_unique<T[]>(n);
    std::copy_n(data_.get(), std::min(n, n_), fresh.get());
    std::swap(data_, fresh);
    n_ = n;
    }
    bool operator==(const MinimalDofsVector<T, DOFs>& rhs) const {
    for (size_t dof = 0; dof < n_; ++dof) {
    if (data_[dof] != rhs[dof]) {
    return false;
    }
    }
    return true;
    }
    };
    using namespace ruckig;
    int main() {
    // Create instances: the Ruckig trajectory generator as well as input and output parameters
    // 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 | position" << std::endl;
    while (ruckig.update(input, output) == Result::Working) {
    std::cout << output.time << " | " << pretty_print(output.new_position) << std::endl;
    output.pass_to_input(input);
    }
    std::cout << "Trajectory duration: " << output.trajectory.get_duration() << " [s]." << std::endl;
    }
    Main interface for the Ruckig algorithm.
    Definition ruckig.hpp:28
    Definition block.hpp:17
  • Python
    # ---
    #
    # Nothing to see here, as the custom vector types don't affect the Python version.
    #
    # ---

Output Trajectory