The Labelix.ai Blog

The data behind Physical AI

How humanoid robots learn to perceive and act, and why the human-labeled data underneath decides which ones actually work.

Four people working side by side at laptops and monitors in a shared office, seen from above.
Annotation· 9 min read · Sep 16, 2026

Dedicated Data Teams vs. Crowdsourced Labeling: What Robotics Teams Should Actually Weigh

Robotics annotation runs on judgment calls, not just labels. Here's why who does the labeling matters as much as how it's done.

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More articles
Unitree's title card for its autonomous sparring demo: a G1 humanoid in boxing gloves squaring up to a human trainer in a ring.
Radar· 6 min read · Sep 12, 2026

This Week in Robotics: Sep 7-13, 2026

A humanoid that spars with no one at the controls, a $100 million warehouse robot raise, Samsung reorganizing to build its own humanoid, and a fresh bet on the layer beneath every robot.

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A humanoid robot standing in a warehouse aisle, inspecting stacked boxes on pallet racking.
Data Collection· 7 min read · Sep 9, 2026

What Kind of Data Do Robots Need? It Depends Where They're Working

A warehouse robot and a home robot aren't learning from the same data. How training data requirements shift by deployment environment, and what stays constant no matter where a robot works.

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Nscale's announcement card for its strategic partnership with humanoid robotics company Figure.
Radar· 7 min read · Sep 5, 2026

This Week in Robotics: Aug 31-Sep 6, 2026

Nscale bets $3.5B of compute on Figure, a dual-arm robot ties rebar on a building site, Medtronic puts $700M into surgical robotics, and Nvidia pushes real inference to the edge.

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A robotic arm with a precision nozzle positioned above a circuit board in a lab.
Annotation· 9 min read · Sep 4, 2026

What Is Robotics Data Annotation? A Guide to Labeling Robot Training Data

Robot recordings capture behavior that unfolds over time. Annotation is what turns that into actions, states, events and outcomes a learning system can use.

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Skild AI's S1 robot gripper potting a plant, from the S1 announcement.
Radar· 6 min read · Aug 30, 2026

This Week in Robotics: Aug 24-30, 2026

Skild's S1 learns from one video, Figure scales human data with Index, humanoids race in Beijing, and XPENG raises to build IRON.

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An abstract simulated environment of white and blue blocks resolving out of streams of data points.
Simulation· 9 min read · Aug 28, 2026

Sim-to-Real in Robotics: Where Simulated Data Helps and Where It Breaks

Simulation can accelerate robot training, but the physical world doesn't follow the rules of a simulator. Here's where simulated data works, where the reality gap appears, and why real-world data still matters.

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A humanoid robot with a human-like white face and blue sensor eyes.
Data Collection· 8 min read · Aug 19, 2026

What Makes a Robotics Dataset Actually Usable?

Diversity, sensor coverage, and consistent annotation matter more than raw volume. Here's how to tell if a dataset can actually teach a robot.

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A humanoid robot standing in front of a child, illustrating how robots learn by observing people.
Physical AI· 8 min read · Aug 10, 2026

Imitation Learning vs. Teleoperation: How Robots Learn Real-World Skills

From observation to operation: how robots acquire real-world skills.

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A humanoid robot assembling a metal chassis on a factory production line.
Physical AI· 7 min read · Aug 3, 2026

What Is Physical AI? Why Data Will Decide the Humanoid Robotics Race

Robots don't have to learn every job from scratch. They start with us.

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