7 datasets found

The dataset used in the paper is a set of 10 testing maps for robot navigation tasks, with 5 maps for each of 2 different scenarios.

The dataset used in this paper for social robot navigation, consisting of expert demonstrations and social constraints.

Classical motion planning methods and learning from hallucination approaches.

Dyna-LfLH is a self-supervised machine learning method for mobile robot navigation in dynamic environments.

The dataset used in the paper for training and testing the Deep Visual Navigation under Partial Observability model.

The dataset used in this paper is a video of a house tour, which is used to train a Variational Autoencoder (VAE) to learn a representation map for robot navigation.

A novel mobile robot navigation method based on deep reinforcement learning.