Simulated Visual Navigation Dataset for "Two-Stage Visual Navigation by Deep Neural Networks and Multi-Goal Reinforcement Learning"

Published: 6 April 2020| Version 1 | DOI: 10.17632/w48zc9yd9d.1
Contributors:
Amirhossein Shantia,
Rik Timmers,
Yiebo Chong,
Cornel Kuiper,
Francesco Bidoia,
L. R. B. Schomaker,
Marco Wiering

Description

Condensed data set (train, validation, test) of two simulated environments in the Gazebo simulator. One small kitchen of approximately 45 square meters and a big room of roughly 140 square meters. The data can be loaded using numpy. The images are size 84x84x3. The labels for each image are (X position, Y position, sine of theta, and cosine of theta).

Files

Steps to reproduce

Please refer to https://github.com/ashantia-ai/borg.