metadata
task_categories:
- object-detection
tags:
- multimodal robot manipulation
- Human Activity Recognition
- Motion Analysis
- Action Segmentation
size_categories:
- n<1K
Robotic Dataset 1,000+ hours
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. — Get the data
Dataset characteristics:
| Characteristic | Data |
|---|---|
| Description | 1,000 hours of multimodal recordings of cleaning, laundry folding, and dishwashing activities |
| Data types | Video (head-mounted), 9-axis IMU streams |
| Tasks | Human Activity Recognition, Motion Analysis, Multimodal Learning, Action Segmentation |
| Hours of recordings | 1,000 |
| IMU placements | Chest, Upper arms, Forearms, Wrists |
| Sensor outputs | 3-axis accelerometer, 3-axis gyroscope, 3-axis magnetometer, Orientation quaternions |
| Labeling | Metadata (counter, duration, task, date, video size, sensor size, recording version) |
📊 Sample dataset available! For full access, contact us to discuss purchase terms.
Dataset structure
- txt files for sensors data and vidoes
- data - metadata for files
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