Robot-Dataset
video-to-data-robot-dexterity-task-library-and-dataset
Video to Data: Robot Dexterity Task Library and Dataset
Dataset Description
This dataset contains samples of human demonstrations on manipulation tasks retargeted to bimanual Sharpa robot hands and episodes of robot executions that mimic the original human demonstrations. The former allows a Video to Data user to easily experiment with the Video to Data grounding pipeline, and the latter is an example of the grounded robot data that can be generated with the Video… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/video-to-data-robot-dexterity-task-library-and-dataset.robot-maniskill-image-state-dataset-v1
Robot ManiSkill Image–State Dataset
0. Update
12.22
pickcube_rgb_random_v2: having a broader distribution of viewpoints and qpos values
12.14
pickcube_rgb_traj_v3: official PickCube-v1 scene RGBD trajectories (Type-1 scaling baseline)
12.2
delete pickcube_rgb_traj_v1
11.30
pickcube_rgb_traj_v2: rendering images with cube in pickcube task.
11.28
pickcube_rgb_traj_v1: Trajectory subset… See the full description on the dataset page: https://huggingface.co/datasets/surgingTu/robot-maniskill-image-state-dataset-v1.touch_in_the_wild-dataset
📦 Touch in the Wild
Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
🔍 Overview
This dataset supports the paper Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper. It contains a wide range of visuo-tactile demonstrations collected using a portable visuo-tactile gripper, spanning both structured lab settings and unstructured real-world environments.
The dataset is divided into three major categories:
Four… See the full description on the dataset page: https://huggingface.co/datasets/binghaohuang-robot/touch_in_the_wild-dataset.KIT_IRL_Real_Robot_Kitchen_Dataset_Vis_OnlyDataset with joint state play data for a toy kitchen. Does not contain language annotations.
The dataset contains 20 different tasks with two static cameras.
@inproceedings{
reuss2024multimodal,
title={Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals},
author={Moritz Reuss and {\"O}mer Erdin{\c{c}} Ya{\u{g}}murlu and Fabian Wenzel and Rudolf Lioutikov},
booktitle={Robotics: Science and Systems},
year={2024}
}
arx5-robot-dataset
ARX5 Manipulation Dataset
Robotic manipulation demos collected on a single ARX5 arm, of tabletop tasks with dual RGB cameras and DINOv2 embeddings of the images.
Converted from Ville Kuosmanen's LeRobot v2.1 datasets into a unified HDF5 format.
Hardware
Robot: ARX5 single arm (7-DoF)
Cameras: Wrist-mounted + front-facing scene camera
Stats
Trajectories
1,704
Total frames
860,076
Frames per trajectory
4 – 3,034 (median 397)
Total size
1 TB+… See the full description on the dataset page: https://huggingface.co/datasets/pravsels/arx5-robot-dataset.KIT_IRL_Real_Robot_Kitchen_Dataset_LangDataset with joint state play data for a toy kitchen.
The dataset contains 20 different tasks with two static cameras.
@inproceedings{
reuss2024multimodal,
title={Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals},
author={Moritz Reuss and {\"O}mer Erdin{\c{c}} Ya{\u{g}}murlu and Fabian Wenzel and Rudolf Lioutikov},
booktitle={Robotics: Science and Systems},
year={2024}
}