Safe Learning Based Control Using Gaussian Processes Ifac2020

Media Summary: This video demonstrates a new approach to improving Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, "Multi-Agent Presented at the 60th IEEE Conference on Decision and

Safe Learning Based Control Using Gaussian Processes Ifac2020 - Detailed Analysis & Overview

This video demonstrates a new approach to improving Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, "Multi-Agent Presented at the 60th IEEE Conference on Decision and Enabling obstacle avoidance on a teleoperated robot, Superdroid HD2, method Safe event-triggered control with Gaussian process learning Gaussian Processes-based Control of Underactuated Balance Robots with Guaranteed Performance

Short presentation of the paper: Jackson, L. Laurenti, E. Frew, and M. Lahijanian, "Synergistic Offline-Online A main challenge restricting the application of

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Safe Learning-based Control Using Gaussian Processes @ IFAC2020

Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes

Armin Lederer - Safe Model-Based Control with Gaussian Processes

Learning-Based Distributionally Robust Motion Control with Gaussian Processes

Marc Deisenroth: Fast Robot Learning with Gaussian Processes

Robust Learning Control Based on Gaussian Process Regression

Multi-Agent Safe Planning with Gaussian Processes

Learning Rigidity-based Flocking Control using Gaussian Processes with Stability Guarantees

Exploiting Differential Flatness for Robust Learning-Based Tracking Control using Gaussian Processes

Smart Forgetting for Safe Online Learning with Gaussian Processes

Learning a Stability Filter for Uncertain Differentially Flat Systems using Gaussian Processes

Safe Learning of Regions of Attraction with Gaussian Processes (CDC 2016 presentation)

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Safe Learning-based Control Using Gaussian Processes @ IFAC2020

Safe Learning-based Control Using Gaussian Processes @ IFAC2020

Prof. Angela Schoellig Presented at the

Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes

Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes

Formation

Armin Lederer - Safe Model-Based Control with Gaussian Processes

Armin Lederer - Safe Model-Based Control with Gaussian Processes

MAE 248:

Learning-Based Distributionally Robust Motion Control with Gaussian Processes

Learning-Based Distributionally Robust Motion Control with Gaussian Processes

Paper: https://arxiv.org/pdf/2003.02532.pdf.

Marc Deisenroth: Fast Robot Learning with Gaussian Processes

Marc Deisenroth: Fast Robot Learning with Gaussian Processes

The talk presented at Workshop on

Robust Learning Control Based on Gaussian Process Regression

Robust Learning Control Based on Gaussian Process Regression

This video demonstrates a new approach to improving

Multi-Agent Safe Planning with Gaussian Processes

Multi-Agent Safe Planning with Gaussian Processes

Companion video for IROS 2020 paper: Z Zhu, E Bıyık, D Sadigh, "Multi-Agent

Learning Rigidity-based Flocking Control using Gaussian Processes with Stability Guarantees

Learning Rigidity-based Flocking Control using Gaussian Processes with Stability Guarantees

by

Exploiting Differential Flatness for Robust Learning-Based Tracking Control using Gaussian Processes

Exploiting Differential Flatness for Robust Learning-Based Tracking Control using Gaussian Processes

CDC 2020 Talk

Smart Forgetting for Safe Online Learning with Gaussian Processes

Smart Forgetting for Safe Online Learning with Gaussian Processes

Smart Forgetting for

Learning a Stability Filter for Uncertain Differentially Flat Systems using Gaussian Processes

Learning a Stability Filter for Uncertain Differentially Flat Systems using Gaussian Processes

Presented at the 60th IEEE Conference on Decision and

Safe Learning of Regions of Attraction with Gaussian Processes (CDC 2016 presentation)

Safe Learning of Regions of Attraction with Gaussian Processes (CDC 2016 presentation)

Extended version of the paper: https://arxiv.org/abs/1603.04915 Code: https://github.com/befelix/lyapunov-

Learning-based shared control using Gaussian processes for obstacle avoidance in teleoperated robots

Learning-based shared control using Gaussian processes for obstacle avoidance in teleoperated robots

Enabling obstacle avoidance on a teleoperated robot, Superdroid HD2, method

Highlight Talk: Gaussian Processes for Data Efficient Learning... -- Marc Diesenroth

Highlight Talk: Gaussian Processes for Data Efficient Learning... -- Marc Diesenroth

... is joint work

Safe event-triggered control with Gaussian process learning

Safe event-triggered control with Gaussian process learning

Safe event-triggered control with Gaussian process learning

Gaussian Processes-based Control of Underactuated Balance Robots with Guaranteed Performance

Gaussian Processes-based Control of Underactuated Balance Robots with Guaranteed Performance

Gaussian Processes-based Control of Underactuated Balance Robots with Guaranteed Performance

Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression

Synergistic Offline-Online Control Synthesis via Local Gaussian Process Regression

Short presentation of the paper: Jackson, L. Laurenti, E. Frew, and M. Lahijanian, "Synergistic Offline-Online

Robust SL in An Unknown Environment: An Uncertainty-Separated Control Barrier Function Approach

Robust SL in An Unknown Environment: An Uncertainty-Separated Control Barrier Function Approach

A main challenge restricting the application of