CHALET is a 3D house simulator with support for navigation and manipulation. It includes 58 rooms and 10 house configurations, and allows to easily create new house and room...

The UNav dataset is an infrastructure-independent vision-based navigation system for people with blindness and low vision.

The VIS4ION dataset is a smart wearable that helps people with blindness and low vision in their daily challenges. It provides multiple microservices based on artificial...

The dataset used in this paper is a multiagent navigation task environment. Two robots must navigate to their respective targets while avoiding collisions with each other. The...

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...

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

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 dataset used in this paper is a multi-robot swarm system with 3 quadrotor robots moving in a two-dimensional planar environment.

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...

The dataset used in the paper is a grid world navigation task with four actions: up, down, left, or right. Transitions are stochastic and with a 5% probability the agent moves...

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