97 datasets found

Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation

The dataset used in the paper is a collection of demonstrated trajectories for a robotic system.

TriFinger dataset for offline reinforcement learning

A dataset for visual odometry, containing 11 sequences with provided ground-truth poses.

Dynamics-Guided Diffusion Model for generating manipulator geometry designs for unseen tasks

The dataset used in the paper is a spatial concept formation task.

The dataset used in the paper is a multimodal learning task for robots.

The NAO robot database published in [1] which includes images taken in various game situations and under different illumination conditions.

The Open X-Embodiment Collaboration dataset is a collection of robotic learning datasets and RT-X models.

The Fleet-Tools benchmark is a dataset for robotic tool-use tasks.

Training general robotic policies from heterogeneous data for different tasks is a significant challenge. Existing robotic datasets vary in different modalities such as color,...

The Continual World benchmark consists of ten realistic robotic manipulation tasks.

Minigrid environment, a grid-based problem in reinforcement learning.

The Cornell Grasp Detection Data Set consists of 1035 images of 280 different objects, with several images taken of each object by different orientations or poses.

The dataset used in the paper is the Mujoco benchmarking continuous control tasks.

The dataset used in the paper is a set of demonstrations for a robot insertion task, which is a continuous control problem. The demonstrations are collected by a robot...

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

The dataset used in the Amazon Picking Challenge 2016, a vision-based robotic picking system developed by Team Applied Robotics.

Motion-capture datasets for robotic continuous control tasks.

A dataset of videos of a robot interacting with blocks of different shapes and colors placed on a table in a simulation environment.