Skip to content
View maximvochten's full-sized avatar

Highlights

  • Pro

Organizations

@Robotics-Research-Group-KUL @trajectory-invariants

Block or report maximvochten

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
maximvochten/README.md

Hi there 👋

I am a robotics researcher working on novel trajectory representations to enable motion recognition and robot task learning from sparse data.

I am interested in numerical optimization, optimal control, 3D kinematics, differential geometry, robot control, machine learning and state estimation.


Maintainer of the Trajectory Invariants project: https://github.com/trajectory-invariants.

Personal website: https://maximvochten.github.io/

Pinned Loading

  1. trajectory-invariants/invariants_py trajectory-invariants/invariants_py Public

    Calculate invariant trajectory representations from trajectory data and generate new trajectories from the invariants.

    Jupyter Notebook 4

  2. trajectory-invariants/invariants_mat trajectory-invariants/invariants_mat Public

    Matlab implementation of Trajectory Invariants.

    MATLAB 4 1

  3. trajectory-invariants/invariants_py_ros trajectory-invariants/invariants_py_ros Public

    Example of using Trajectory Invariants in ROS

    Python 2

  4. trajectory-invariants/trajectory-invariants.github.io trajectory-invariants/trajectory-invariants.github.io Public

    Website of Trajectory Invariants.

    CSS 2

  5. meco-group/fatrop meco-group/fatrop Public

    Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.

    C++ 144 16

  6. particles particles Public

    Forked from nchopin/particles

    Sequential Monte Carlo in python

    Python