Staer open-sources Staer Warehouses v0.1 dataset
It features 15 synthetic warehouse environments with 1,500 sequences and 200,000 labeled objects for industrial 3D vision research. Announced at NVIDIA GTC.
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Spatial intelligence for autonomous mobile robots
staer.aiLast updated
In short: Staer joined the Google DeepMind Robotics Accelerator and advanced its industrial 3D vision datasets while facing insolvency in its furniture unit.
It features 15 synthetic warehouse environments with 1,500 sequences and 200,000 labeled objects for industrial 3D vision research. Announced at NVIDIA GTC.
It features 15 synthetic warehouse environments with 78,400 m² area, 200,000 objects, and 1,500 sequences across RGB, depth, and segmentation modalities. Built for physical AI research on repetitive industrial spaces.
Warehouses waste hours searching due to inaccurate WMS data. Spatial intelligence via 3D vision models provides real-time visibility, enabling efficient robot deployment and space optimization.
The event occurs on April 15 in Malmö, gathering founders, investors for demos, roundtables, pitches. Supporting partner is Amyna.
The startup will help robots move things and understand their surroundings.
The local furniture producer Staer International from Galati asked the Galati Tribunal at the end of last year to enter insolvency. - All Ziare.com articles on the topic...
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