Robot demonstrations

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M2DGR： a Multi-modal and Multi-scenario Dataset for Ground Robots(RA-L2021 & ICRA2022)

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M3DGR: A Multi-sensor, Multi-scenario and Massive-baseline SLAM Dataset for Ground Robots(IROS2025)

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Extension and update of M2DGR: a novel Multi-modal and Multi-scenario SLAM Dataset for Ground Robots (ICRA2022 & ICRA2024)

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AgiBot World provides manipulation-platform resources for embodied-system data and learning.

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A Multi-sensor SLAM Dataset Focusing on Corner Cases for Ground Robots (ROBIO2023)

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The GrandTour Dataset: A Legged Robotics Dataset in the Wild

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(ICRA 2025) This repository is the official code for DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot Navigation in Multi-session Outdoor Environments.

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RELLIS-3D: A Multi-modal Dataset for Off-Road Robotics

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Unfied World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

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BotanicGarden: A high-quality dataset for robot navigation in unstructured natural environments

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a legged robot (Unitree Go1) dataset containing leg kinematics (joint encoders and contact sesors), imu and lidar

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Ready to test your SLAM system in challenging datasets from extreme environments? Try this out! The dataset is provided by the Team CoSTAR that has been intensively testing multi-robot systems in…

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Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of…

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The DROID repository provides setup resources for its robot demonstration-collection platform.

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Open-H-Embodiment is a community‑driven dataset initiative building the open, shared foundation needed to train and evaluate a generalist Vision‑Language‑Action (VLA) model for healthcare robotics

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Deep learning techniques for skin segmentation on novel abdominal dataset. Work conducted as part of the development process of an autonomous robotic ultrasound system.

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Robot demonstration data and tools for embodied manipulation research.

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Multi-task demonstration data for robot manipulation learning.

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Navigation and localisation dataset for self driving cars and autonomous robots

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A driving dataset for the development and validation of fused pose estimators and mapping algorithms

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Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.

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A dataset and collection workflow for robot manipulation in varied environments.

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FiftyOne ABC130k provides a viewer-oriented subset of robot teleoperation MCAP data.

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cornell grasp dataset analyses and process