Reinforcement Learning for Outdoor Balloon Navigation Dataset

Year: 2022
DOI: 10.3929/ethz-c-000787616

Experiment data supporting the IEEE-RAM 2022 paper on autonomous balloon navigation. Includes indoor and outdoor flight trials, flight logs, and CAD files to replicate the balloon systems. Preview imagery to be rehosted with the dataset.

Outdoor balloon prototype

Dataset Description

Two zip archives covering indoor and outdoor experiments
Contains flight videos, logged flight data, and CAD designs for the balloon platform
Reference implementation: project_balloon

Downloads

Indoor experimental data (includes CAD): https://doi.org/10.3929/ethz-c-000787616
Outdoor experimental data (includes CAD): https://doi.org/10.3929/ethz-c-000787616

Citation

S. L. Jeger, N. Lawrance, F. Achermann, O. Pang, M. Kovac, R. Y. Siegwart,
“Reinforcement Learning for Outdoor Balloon Navigation”, IEEE Robotics and Automation Magazine (RAM), 2022.

Tags: uav, balloon, reinforcement-learning, outdoor, aerial