Safe Learning-based Control Using Gaussian Processes @ IFAC2020
Prof. Angela Schoellig Presented at the Learning for Control Tutorial at the IFAC World Congress 2020.
Abstract: This tutorial will focus on our recent work on using Gaussian Processes (GPs) as a tool to model uncertainties and gradually learn unknown effects from data. We show how GPs can be combined with robust, nonlinear and predictive control approaches to achieve safe and high-performance system behavior. In this tutorial, we will show how theoretical guarantees can be derived for such approaches, and provide real-world application results from robotics.
Tutorial Webpage: https://www.ifac2020.org/program/tutorials/learning-for-control/
Slides: https://www.dynsyslab.org/wp-content/papercite-data/slides/schoellig-ifac20-slides.pdf
Researchers: Angela P. Schoellig
Learn More: dynsyslab.org
Видео Safe Learning-based Control Using Gaussian Processes @ IFAC2020 канала Dynamic Systems Lab
Abstract: This tutorial will focus on our recent work on using Gaussian Processes (GPs) as a tool to model uncertainties and gradually learn unknown effects from data. We show how GPs can be combined with robust, nonlinear and predictive control approaches to achieve safe and high-performance system behavior. In this tutorial, we will show how theoretical guarantees can be derived for such approaches, and provide real-world application results from robotics.
Tutorial Webpage: https://www.ifac2020.org/program/tutorials/learning-for-control/
Slides: https://www.dynsyslab.org/wp-content/papercite-data/slides/schoellig-ifac20-slides.pdf
Researchers: Angela P. Schoellig
Learn More: dynsyslab.org
Видео Safe Learning-based Control Using Gaussian Processes @ IFAC2020 канала Dynamic Systems Lab
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