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Key figures as stated by the developer

2 of 7 key figures stated
  • Controls ⁠A whole body
  • Inputs ⁠A camera language robot state

Not stated: Model type · Access · Parameters · Base model · Licence

Full specifications

4 of 14 fields stated
The letter points to the source at the foot of the page. Fields without a figure are dashed: the developer does not state them — that is not the same as zero, and not the same as no.
Field Value Source and caveats
Release
Released28 September 2026

[A] "2026.09.28 Delta Intelligence Unveils Delta-0, a Native Humanoid Robot Foundation Model" ⁠B

Input and output
Model typenot stated

Note Delta Intelligence's own term: "Δ₀, Delta Intelligence’s humanoid foundation model (HFM) for whole-body loco-manipulation". Its brain: "Δ₀ pairs a brain—a latent world-action model—with a learned whole-body controller." ⁠A

Inputscamera language robot state

Developer wording: Delta-0 works "using cameras, language, and the robot’s own state to coordinate movement and manipulation". Cameras = camera. ⁠A

Controlswhole body

Developer wording: "Δ₀ brings the hands, arms, torso, and legs into a shared action space". ⁠A

Degrees of freedom controllednot stated

Note The blog gives the figure without naming a robot model: "Unlocks a humanoid’s full dexterity across 69 DoFs". ⁠A

Size and speed
Parametersnot stated
Control ratenot stated
Where it runs and what it is built on
On robot or cloudnot stated
Base modelnot stated
Openness
Accessnot stated
Licence termsnot stated
Licencenot stated
The developer’s own claims
Learns new tasksneeds retraining

Developer claim: Delta-0 learns from human data at scale, "building a foundation for coordinated behavior and transfer to downstream tasks". Post-training: "Real-world reinforcement learning extends policy training beyond demonstrations by learning from autonomous attempts and targeted human guidance." ⁠A

Works across robotsnot stated

Note The blog names no robot models; it describes training data from several embodiments: "We propose a shared action representation for Δ₀ that enables the brain to learn from different data sources and embodiments." ⁠A

Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count.

How to read the figures
50HzA
The letter in the grey square after a figure points to the source the figure came from. Pages with several sources carry several letters.

Notes

  • Delta Intelligence describes Delta-0 as a humanoid foundation model for whole-body loco-manipulation.
  • Delta Intelligence unveiled Delta-0 on 28 September 2026.
  • Delta Intelligence lists an address in Haidian District, Beijing.
Versions and notes in the key figures (3)

Model type

Note Delta Intelligence's own term: "Δ₀, Delta Intelligence’s humanoid foundation model (HFM) for whole-body loco-manipulation". Its brain: "Δ₀ pairs a brain—a latent world-action model—with a learned whole-body controller."

Controls

Developer wording: "Δ₀ brings the hands, arms, torso, and legs into a shared action space".

Inputs

Developer wording: Delta-0 works "using cameras, language, and the robot’s own state to coordinate movement and manipulation". Cameras = camera.

Sources

One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.