jumlauft/Uncertainty-based-Human-Motion-Tracking jumlauft/Uncertainty-based-Human-Motion-Tracking

  • Stars
    star
    1
  • Language
    MATLAB
  • License
    Other
  • Created almost 5 years ago
  • Updated almost 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
jumlauft/Uncertainty-based-Human-Motion-Tracking
github

jumlauft

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

The code accompanies the publication "Uncertainty-based Human Motion Tracking with Stable Gaussian Process State Space Models" by Lukas Pöhler, Jonas Umlauft, Sandra Hirche published at the 2nd IFAC Conference on Cyber-Physical&Human Systems 2018

More Repositories

1

Safe-Online-Learning-for-Gaussian-Processes

The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas Umlauft and Sandra Hirche published in IEEE Transactions on Automatic Control in 2020.
MATLAB
40
star
2

Sum-of-Squares-for-Stable-GPSSMs

The provided code accompanies the following publication: "Learning Stable Gaussian Process State Space Models", American Control Conference (ACC), IEEE 2017.
MATLAB
7
star
3

Uncertainty-based-Control-Lyapunov-Functions

The code accompanies the publication "An Uncertainty-based Control Lyapunov Approach for Control-affine Systems Modeled by Gaussian Process" by Jonas Umlauft, Lukas Pöhler, Sandra Hirche published in IEEE Control Systems Letters (L-CSS) in 2018
MATLAB
4
star
4

Stable-Gaussian-Process-State-Space-Models

The code accompanies the manuscript "Learning Stochastically Stable Gaussian Process State-Space Models" by Jonas Umlauft and Sandra Hirche
MATLAB
3
star
5

GP-Error-Bounds-for-Safe-Control

The Matlab code accompanies the work "Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control" by Armin Lederer, Jonas Umlauft and Sandra Hirche published at the Conference on Neural Information Processing Systems (NeurIPS)
MATLAB
3
star
6

LGRT4GPs

Locally Growing Random Trees for Gaussian Processes
Python
1
star