Marc Hildebrandt — accepted AI-conference papers

2019

A Framework for On-line Learning of Underwater Vehicles Dynamic Models

Bilal Wehbe, Marc Hildebrandt, Frank Kirchner

ICRA 2019poster

Learning the dynamics of robots from data can help achieve more accurate tracking controllers, or aid their navigation algorithms. However, when the actual dynamics of the robots change due to external conditions, on-line adaptation of their models is required to maintain high fidelity performance.…

Cited by 14 Source ↗Scholar ↗

2017

Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles

Bilal Wehbe, Marc Hildebrandt, Frank Kirchner

ICRA 2017poster

In this work we investigate the identification of a motion model for an autonomous underwater vehicle by applying different machine learning (ML) regression methods. By using the data collected from the robot's on-board navigation sensors, we train the regression models to learn the damping term whi…

Cited by 52 Source ↗Scholar ↗