When robots need to learn how humans assemble parts or pack goods, the quality of their training data can make or break their performance. That’s why a new milestone from Nexdata, an AI training data provider, deserves attention: the company has completed a 10,000-hour Ego-Exo multi-view data collection project for a major AI firm, delivering synchronized human demonstrations aimed at accelerating Physical AI development.
Five synchronized devices capture hand–object interactions and full-body movements across factories and warehouses to support Physical AI development.
Capturing the same action from synchronized viewpoints connects hand–object interactions with whole-body movement, giving robot learning teams a fuller picture of human manipulation.”— Nexdata
Also worth a look: Florida law firm warns chatbot legal advice could sink injury claims and Nexdata delivers 10,000 hours of synchronized video to teach robots how humans work.
LOS ANGELES, CA, UNITED STATES, November 6, 2026 /EINPresswire.com/ — SINGAPORE — Each recording setup employed five time-synchronized devices: one stereo head-mounted unit, two cameras strapped to the wrists, and two external cameras positioned in the environment. This arrangement allowed researchers to simultaneously capture hand–object interactions, the broader workspace context, and full-body motion, enabling them to examine the same action from multiple, complementary viewpoints.
Data collection targeted real-world factory and warehouse workflows, covering tasks such as component assembly, tool handling, goods sorting, shelf picking, and packing. To ensure environmental diversity, recording was capped at eight hours per scene.
Nexdata implemented a two-stage quality process combining AI-assisted checks with manual review. Reviewers assessed task authenticity, camera synchronization, visibility, and recording completeness. They also verified annotation consistency and ensured that corresponding files from every camera view were present before delivery. The project achieved a data quality pass rate of up to 98%.
This delivery underscores Nexdata’s capacity to coordinate multi-device data collection, manage varied work environments, and enforce rigorous quality control at scale for robot learning initiatives.
Read the full case study: https://www.nexdata.ai/company/news/1478?fromPage=1&fromTag=
Beyond individual projects, Nexdata supports Physical AI development through Bespoke data collection, annotation, and integrated data services, alongside off-the-shelf datasets for training and evaluation.
Explore Nexdata’s Physical AI Data Solution: https://www.nexdata.ai/industries/embodied-ai
Browse Nexdata’s Physical AI Datasets: https://www.nexdata.ai/datasets/embodied-ai
About Nexdata
Nexdata provides off-the-shelf datasets, Bespoke data collection and data annotation services for AI development. Its Physical AI offering combines collection hardware, data management and annotation platforms, and professional services to support clients’ data pipelines.
For more information, visit: https://www.nexdata.ai
NEXDATA TECHNOLOGY INC.
NEXDATA TECHNOLOGY INC.
kris.y@nexdata.ai
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Why it matters: As robots move from controlled labs into messy real-world factories and warehouses, the quality and breadth of their training data becomes a bottleneck. Nexdata’s multi-view, 10,000-hour dataset, validated at a 98% pass rate, gives AI developers a richer, more realistic foundation for teaching machines complex human manipulation skills—an essential step toward truly autonomous physical intelligence.
