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// Research · Scorekeeper, not cheerleader

Humanoid Research

What the science actually shows about humanoid robots, in plain English. Each week we read the new papers, check the numbers against the source, and say what was tested on a real robot and what was only simulated.

Updated November 13, 2026

10Papers tracked
10Tested on a real robot
4Strong evidence
5Run on a Unitree G1

Where things stand

New this week

What it means for the Robot Rankings

Capability is 25% of each company's score in the weekly Robot Rankings, and we check capability claims against published research like this. None of the papers here came from a ranked company. Unitree's G1 was the test robot in 5 of the 10 papers here, a sign of how widely it is used as a research platform.

How we pick and rate papers

  • We cover primary research that tests AI, perception, planning or control on a humanoid robot, or reports a distinct humanoid experiment. Product launches, funding news and promotional videos without a paper are left out.
  • Every paper links to its primary source. Most are arXiv preprints, which are not peer-reviewed; we say so, and add the journal or conference version when one is confirmed.
  • We check the numbers against the paper itself, and say whether we read the abstract or the paper text.
  • We separate physical-robot results from simulation, and note when a robot was teleoperated rather than acting on its own.
  • Strong means quantified tests on a physical humanoid with defined tasks and real comparisons. Moderate means limited hardware results or partial evidence. Preliminary means simulation-only or exploratory work.

Spotted an error, or a paper we should cover? Tell us, with a link to the paper.