license: cc-by-nc-nd-4.0
task_categories:
- object-detection
tags:
- complex actions
- sensor data
- robotic
- robot learning models
- multimodal robot manipulation
size_categories:
- 1K<n<10K
Robotic Dataset
The dataset comprises 1,000+ hours of multimodal robot manipulation data collected from real-world environments, demonstrating manipulation tasks such as cleaning, laundry folding, and dishwashing performed by different robots. It contains synchronized sensor data from seven 9-axis IMU units attached to the robot arms, forearms, and chest, along with head-mounted videos and detailed trajectory recordings.
By utilizing this dataset, researchers can explore learning methods and robot manipulation techniques that enhance the ability of real robots to handle different objects and perform complex actions in real-world scenarios. - Get the data
Designed for robotic learning and model training, it provides data suitable for training models in robotic systems, foundation models, and real-world applications of humanoid robotics and robot manipulation.
💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.
Dataset enables researchers and developers to build large-scale robot learning models, making it an essential resource for advancing robotic manipulation and real-world robotics research.