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An evidence-first index of humanoid robots

Humanoid Arena tracks 68 humanoid robots from 45 companies. Every spec, price and deployment claim points to its source, and every claim points to its source.

01 / Why it exists

Launch videos are not evidence

Humanoid robots are announced with polished demos, target prices and production plans that are hard to verify. Buyers, engineers and investors end up comparing marketing. Humanoid Arena separates what has been shown, shipped and deployed from what has only been claimed, and keeps the sources one click away.

02 / How the data is built

Sources, evidence, then ratings

  1. Collect. Official spec pages, press releases, filings, reputable reporting and demo footage for each robot.
  2. Record. Each value is stored with the wording it was published in, a normalized metric value and its source. Company claims stay labelled as claims; teleoperated demos are flagged.
  3. Compare. Robots with enough evidence enter the arena, where structured pairwise judgments produce ratings. See the methodology.
  4. Open. The robot, company and price files are published in the open robot database on GitHub, where anyone can propose a correction.
03 / Editorial standards

Every claim links to where it came from

  • Sourcing. Official announcements first, then original reporting. Aggregators and social posts are used only for community reaction, and say so.
  • News. News is researched from the original announcements and coverage with automated tools. Every claim links to its source, every figure is checked against the source text, and stories that fail those checks are held for review instead of published.
  • Independence. No robot maker pays for placement, ratings or coverage.
  • Corrections. Errors are fixed in the open: report one on GitHub or edit the file directly. Accepted corrections reach the site within hours.
  • Contact. Press, partnerships and data questions: hello@humanoidarena.ai.
04 / Who runs it
Jason Burmeister
Jason BurmeisterFounder

Jason is an AI technology founder. He built and scaled an AI research company focused on complex systems and decision-making.