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      • About
      • Documentation
        • Getting Started
        • Invariants-python
          • Installation
            • Optional Fatrop solver
          • Quickstart
          • ROS integration
        • Invariants-matlab
          • Installation
        • Theoretical Background
          • Screw Theory
          • Optimal Control
          • Vector Invariants
          • Screw Invariants
      • More
      • About Trajectory Invariants
      • Robotgenskill project ↗

      Logo Trajectory Invariants

      Python and Matlab packages to support the use of invariant trajectory representations  
      for trajectory analysis, recognition, generation, and prediction.

      Get Started

      This software is offered with an MIT License.

      Trajectory analysis

      Analyze the geometry of trajectories.

      Trajectory analysis

      Trajectory generation

      Generate new trajectories in a shape-preserving way.

      Trajectory generation

      Trajectory prediction

      Predict the remainder of a trajectory.

      Trajectory prediction

      Python software

      Python implementation of Trajectory Invariants.

      Matlab software

      Matlab implementation of Trajectory Invariants.

      Vector trajectory invariants

      Trajectory Invariants based on the Frenet-Serret formulas using curvature and torsion.

      Screw trajectory invariants

      Trajectory Invariants based on the Instantaneous Screw Axis in screw theory.

      Motion and force trajectories

      Support for motion trajectories (translation, rotation, pose, twist) and for force trajectories (force, moment, wrench).

      Geometric optimal control

      Trajectory estimation and generation problems are implemented using Geometric Optimal Control.


      © 2015-2024 Trajectory Invariants authors.