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Physical AI hardware: The missing layer between AI models and real-world manipulation

Artificial intelligence can generate actions.

Physical AI hardware determines whether those actions succeed in the real world.

As foundation models expand into robotic manipulation, the bottleneck is no longer perception alone. It is physical interaction—contact, force regulation, slip detection, and adaptation to variability.

To deploy Physical AI at scale, robots need hardware that can sense, respond, and learn from real-world contact.

Jennifer Kwiatkowski
By Jennifer Kwiatkowski
on Feb 17, 2026 in Physical AI. 3 min read time
Physical AI hardware: The missing layer between AI models and real-world manipulation

Artificial intelligence can generate actions.

Physical AI hardware determines whether those actions succeed in the real world.

...

Jennifer Kwiatkowski
By Jennifer Kwiatkowski
on Feb 17, 2026
Read more 3 min read time
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CES 2026 wrap-up: When digital AI meets physical automation

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By Eugénie Lachance
on Jan 12, 2026
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CES is often associated with consumer technology and futuristic concepts. At CES 2026, the focus also included something...

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By Jennifer Kwiatkowski
on Jan 06, 2026
Read more 3 min read time
Key takeaways from Humanoids Summit Silicon Valley 2025

Data, Deployment, and the Real Path to Physical AI

The Humanoids Summit made one thing very clear: progress in humanoid...

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By Jennifer Kwiatkowski
on Dec 18, 2025
Read more 5 min read time

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