104 datasets found

The dataset used in the paper for safe reinforcement learning for legged locomotion.

The dataset used in the paper for safe reinforcement learning for legged locomotion.

The dataset used for testing the performance of the learned dynamics model.

The dataset used for training the learned dynamics model, containing demonstrations from a teacher with two end-effectors.

The dataset used for training the downstream LfD method, containing optimized demonstrations.

The dataset used for training the forward dynamics model, containing random actions from various states.

This paper presents a dataset for vision-based mobile robot localization.

A near real-world benchmark for offline RL, which contains datasets from various domains with controlled sizes, and extra test datasets for policy validation.

The HandManipulateBlock environment from OpenAI gym robotics suite

The FetchPickAndPlace and HandManipulateBlock environments from OpenAI gym robotics suite

The FetchPush, FetchPickAndPlace and HandManipulateBlock environments from OpenAI gym robotics suite

The iCubWorld dataset is a benchmark for object recognition in robotics. It consists of 150 objects evenly divided into 15 categories with their appearance changing due to...

The Funnel board task is a domain where a ball falls through a grid of obstacles onto one of five platforms. Every other row of obstacles consists of funnel-shaped objects,...

The Room runner task is a domain where an agent moves through a randomly generated map of rooms, which are observed in 2D from above. The agent follows the policy of always...

The dataset used in the paper is a simulated environment for event camera-based reinforcement learning. The dataset includes a car-like robot equipped with an event camera, and...

The dataset used in the paper is a collection of robot morphologies, each with a unique set of actuators and joints.

The dataset used in the paper is a collection of simulated data from task and motion planning problems.

The dataset used in the paper is a collection of simulated data from task and motion planning problems.

Oxford RobotCar dataset contains a large amount of data collected from one route through central Oxford, and covers various weather and traffic conditions.

The dataset used for training the generative trajectory model, consisting of 7371 trajectories with 17 waypoints.