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10,000 Hours Embodied AI Dextrous Manipulation Data-Teleoperation
Embodied AI
Dexterous Hand
Robotic Arm
Robot
This dataset comprises 10,000 hours of dexterous manipulation data, capturing multimodal information across tasks such as grasping, translation, and rotation. It encompasses RGB-D visual streams, joint states, and force/torque feedback. Leveraging high-precision motion capture, the data ensures physical realism and temporal consistency in hand-object interactions, providing a robust foundation for training and validating algorithms in imitation learning, reinforcement learning, and robotic control.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
10,000 hours in total, including 1,000 hours of annotated data
What types of Embodied AI applications can Nexdata’s datasets support?
Nexdata’s Embodied AI datasets are designed to support a wide range of robotics and embodied intelligence applications, including robot perception, manipulation, navigation, human-robot interaction, and Vision-Language-Action (VLA) model development. Depending on the dataset, data may include multimodal video, sensor data, robot trajectories, actions, poses, and other annotations for training and evaluation.
Can Nexdata customize Embodied AI datasets based on our specific requirements?
Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target robot platform, tasks, environments, sensors, data volume, annotation requirements, and model specifications, helping you build datasets tailored to your specific Embodied AI or VLA project.
Can Nexdata support large-scale Embodied AI data collection projects?
Yes. Nexdata operates an 8,000-square-meter real-world data collection dojo that enables large-scale and diverse data collection for robotics and Embodied AI applications. The facility can support customized environments, task scenarios, robot operations, and multimodal data collection, allowing us to accommodate projects with complex requirements and large data volumes.
Specifications
Sample
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