Learned Dexterous Manipulation Policies
Robot foundation models and simulation-trained policies let dual-arm and dexterous robots perform contact-rich assembly steps that could not be hand-programmed reliably.
Developed mainly in: United States and JapanImpacting: North America, Rest of Asia, China and Europe
NVIDIA and Foxconn released the first measured performance figures for AI-trained dual-arm robots working on GB300 NVL72 rack assembly at Foxconn's Houston plant. The machines exceed 95% success on busbar installation and 90–95% on multi-connector insertion in live production, with a stated target of 99.5% yield at a 124-second cycle time.
This is one of 24 signals scored in our latest scan.
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First flagged
18 June 2026 · score 5.0/10
Corroborating sources since flagging
27
Latest signals
Tracked from 4 signals, each traced to its source.
- NVIDIA robotics lab demonstrates learned robotic assembly of GB300 server tester trays
Developer · 8 Oct 2026
- Dual-arm robots reach 95% task success assembling NVIDIA AI server racks in Texas
Techtimes · 6 Oct 2026
- Develop Humanoid Robot Policies End-to-End with NVIDIA Isaac GR00T
Developer · 5 Aug 2026
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