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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
Robots that feel: why touch is the next frontier in Physical AI

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Robotiq brings the sense of touch to Physical AI

Physical AI has reached a critical point. Robots can see, plan, and decide better than ever—but manipulation in the real world...

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When digital twins meet lean palletizing on the factory floor

CES is often associated with consumer technology and futuristic concepts. At CES 2026, the focus also included something...

Jennifer Kwiatkowski
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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...

Jennifer Kwiatkowski
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on Dec 18, 2025
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