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Robots get better at handling unpredictability

Google DeepMind unveiled a new model this week that gives humanoid robots finer control over how they interact with objects around them, including completing complicated tasks like tying a trash bag.

Robots get better at handling unpredictability

Google DeepMind introduced a groundbreaking model for humanoid robots, enhancing their ability to interact with objects in unpredictable ways. The company showcased demonstrations of the robots executing intricate tasks such as tying trash bags and installing small lightbulbs, signaling progress towards the development of more versatile robot systems.

These advancements suggest that Western countries may be gaining an edge in robotics software, which essentially serves as the "brain" of a robot. However, a recent ban by the United States on importing new foreign humanoids and quadrupeds could potentially impede the growth of domestic robot development. At present, the US lacks a significant number of locally manufactured robots, with many American researchers and startups relying on Chinese hardware for their research and testing purposes.

China tech expert Kyle Chan expressed concern that this ban might hinder American innovation, potentially causing researchers to turn to Europe, where regulations are less restrictive in acquiring Chinese hardware. The transition to a fully self-sustaining robot supply chain in the US could be a lengthy process, given Beijing's dominant position in hardware manufacturing.

Chan cautioned that, bluntly speaking, aiming for a completely made-in-America robotics pipeline appears to be an uphill battle.

Written by urgent.news from Semafor's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at semafor.com →

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