Powering Physical AI with Real-World Ego Datasets
Powering Physical AI
with Real-World Ego Datasets
Virdyn offers ready-to-use real-world ego datasets and bespoke collection services tailored for physical AI datasets
What Can Virdyn Bring to You?
150+
Real-World
Physical Scenes
100%
Real
Workflows
70+
Professional
Team Members
50000+
Hours High-Fidelity
Egocentric Datasets
Daily Operations of Garment Factory Ego Datasets
Daily Operations of Logistics Warehouses Ego Datasets
Daily Operations of Hotel Room Service Ego Datasets
Daily Operations of Bedding Cleaning Ego Datasets
Kitchen Tasking Ego Datasets
Organizing & Cleaning Tasking Ego Datasets
Industrial Assembly Ego Datasets
Retail Interaction POV Ego Datasets
Shelf Organizing Task Ego Datasets
Supermarket Item Organization Ego Datasets
Daily Operation of Office Desktop Ego Datasets
Daily Operation of Tea Table Tidying Ego Datasets
Office Tasking Ego Datasets
Restaurant Service Task Ego Datasets
Daily Operations of Interest Classes Ego Datasets
Daily Operations of Kindergarten Classroom Ego Datasets
Custom Dataset Services
Can’t Find the Exact Data You Need?
Custom Egocentric Data Collection Services Tailored for Your AI Models
Any Scenario, Any Environment
We deploy our capture teams to any real-world location. Whether you need specialized medical procedures in hospitals, complex sorting in logistics centers, precise chemical experiments in cleanrooms, or highly specific smart-home interactions, we build the perfect environment to collect your real world ego datasets.
Custom Task & Action Protocols
Define your own task sequences, object manipulation rules, and interaction guidelines. We specialize in capturing complex bimanual manipulation ego video datasets, tool-use sequences, and human-robot collaboration scenarios designed specifically to train your VLA (Vision-Language-Action) models.
Full-Service Data Pipeline
As a leading egocentric camera provider, we handle the entire lifecycle of your data. Our service includes:
1. Scenario setup and actor/operator recruitment.
2.High-precision data capture (synchronized binocular RGB video + IMU).
3.Data cleaning, decryption, formatting, and custom annotation/labeling.
4.Secure, encrypted cloud or physical delivery.
Frequently Asked Questions
What are real-world egocentric datasets for robotics?
First-person video and multimodal data collected from the viewpoint of an individual carrying out real-world actions are known as real-world egocentric datasets. These datasets can offer information about human behavior, object interactions, task sequences, and real-world settings that can aid in the training and assessment of AI models for robotics and physical AI.
What kinds of datasets for physical AI and robotics does VIRDYN offer?
Industrial assembly, logistics and warehouse operations, retail interactions, hotel services, kitchen duties, office operations, cleaning, and item organization are just a few of the physical contexts and task categories for which VIRDYN offers real-world egocentric datasets.
First-person video datasets for jobs like assembling parts, managing packages, organizing shelves and refrigerators, manipulating objects, and other real-world activities are among the datasets that are available.
We also offer custom egocentric data collection services in case you are unable to locate an appropriate dataset.
What data delivery formats are supported in your egocentric datasets?
Virdyn supports industry-standard formats including BVH, SMPL, JSON/CSV, LeRobot, and MCAP. It comes with comprehensive documentation and works seamlessly right out of the box.
How can VIRDYN ensure the quality of collected egocentric data?
Using an organized workflow that includes scenario setup, operator hiring, data collection, data cleaning, formatting, annotation, and quality check, we oversee the data production process.
Before data production starts, the collecting protocol for custom projects can be established in accordance with the needs of the client. This aids in preserving uniformity among jobs, settings, and data batches.






















