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Fanuc strengthens Nvidia partnership for AI robot simulation and digital twins

Fanuc has further strengthened the integration between Nvidia’s open robot simulation reference framework Nvidia Isaac Sim and Fanuc’s robot simulation software RoboGuide, enabling intuitive operation within a virtual factory and realizing highly accur…

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ShengShu unveils world action model to offer ‘infinite possibilities’ for robotic intelligence

ShengShu Technology has unveiled Motubrain, a world action model that replaces multiple task-specific systems with a single, unified model that functions as a robotic brain for the physical world. ShenShu describes Motubrain as one brain that offers in…

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RLWRLD unveils ‘dexterity-first’ foundation model for humanoid robots

RLWRLD, a physical AI company developing robotics foundation models for dexterous manipulation, unveiled RLDX-1 at “Dexterity Night in SF”, introducing a model designed to help humanoid robots perform contact-rich tasks such as grasping, pouring and to…

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Achieving Dataset Parity to Close the Robotics Training Gap

It was in 1954 when the world witnessed its first real industrial robot, Unimate, a machine built to perform repetitive factory operations. Fast forward to 2026: today robots like Unitree GD01 are being trained to learn adaptive mobility, AI decision-m…

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Opinion: Why industrial AI must be trained on physics, not prompts

By Massimiliano Moruzzi, founder and CEO of Xaba.ai Walk into any modern manufacturing facility and you’ll see the same tension playing out on the floor: incredibly capable machines, hemmed in by the assumption that everything will go exactly as planne…

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Why Disconnected Teams Are Silently Killing Your Retention, Says Ubitello Limited

Two companies acquire users at the same cost, in the same market, with similar products. Twelve months later, one has 38% revenue retention and the other has 71%. The product isn’t the variable. The marketing isn’t the variable. The variabl…

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