21 datasets found

The dataset used in the paper is a replay buffer containing observations from a navigation task.

The dataset used in the paper is a 2-D environment with a starting region S, a destination region D, and an obstacle region ∆. The environment is described by a starting region...

This paper proposes a low-cost six Degree-of-Freedom (6-DOF) navigation system for small aerial robots based on the integration of Global Position System (GPS) receiver with...

The dataset used in this paper is a large-scale demonstration dataset containing 110M and 10M training and validation samples, respectively.

The Room-for-Room (R4R) dataset for instruction conditioned navigation

The Room-to-Room dataset is a photo-realistic dataset for vision-and-language navigation, where agents navigate through indoor environments based on natural language instructions.

The dataset for instruction conditioned navigation using dynamic time warping

The Nordland Railway dataset is a large-scale driving dataset that includes a 728km train journey from Trondheim to Bodø in Nordland, Norway, recorded four times, once per season.

The Room-to-Room (R2R) dataset is a benchmark for vision-and-language navigation tasks. It consists of 7,189 paths sampled from its navigation graphs, each with three...

The dataset used in the paper is a set of environments with different topological properties, including a gridworld, a torus, and a four rooms environment. The agent is tasked...

A dataset for visual homing algorithm, using omnidirectional images and convolutional neural network

A real-world dataset for LiDAR-based end-to-end navigation, consisting of 32km of driving data with 29km for training and 3km for testing.

The dataset used in the paper for vision-and-language navigation tasks.

The dataset used for the magnetic anomaly-based navigation problem, containing a scalar magnetometer measurements and a priori magnetic field map.

The RoboTHOR dataset is a simulation environment for embodied AI research, containing 15 validation environments with 12 different goal object categories.

A dataset created for training and testing the ICPS-net system for indoor positioning and navigation.

A novel reward function for reinforcement learning and a Soft Actor-Critic algorithm to train a DRL policy in the context of local navigation for autonomous mobile robots in...

A benchmark dataset for MultiON task across different houses for evaluation and future use by researchers.

The dataset used in the paper is the AI2-THOR dataset, which is a 3D indoor environment dataset. The agent must navigate from a random starting position to a pre-specified...

The dataset is used for training a neural network consisting of 2 blocks of convolutional layers followed by max pooling layers and an LSTM block.