You're currently viewing an old version of this dataset. To see the current version, click here.

Bayesian Meta-Learning of Control Barrier Functions

The proposed method uses a technique based on the Gaussian process implicit surfaces (GPIS) to train unsafe regions from the measurements.

Data and Resources

This dataset has no data

Cite this as

Wataru Hashimoto, Kazumune Hashimoto, Akifumi Wachi, Xun Shen, Masako Kishida, Shigemasa Takai (2025). Dataset: Bayesian Meta-Learning of Control Barrier Functions. https://doi.org/10.57702/2jdjem20

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2308.05306
Author Wataru Hashimoto
More Authors
Kazumune Hashimoto
Akifumi Wachi
Xun Shen
Masako Kishida
Shigemasa Takai