Specifications
1/14 specifications disclosed 13 not stated
10 fields hidden 3 not-stated fields with a note stay ·
How to read the figuresShow guideClose
Not statedThe developer publishes nothing on it
Select a source marker for source details and notes.
Release1/1 disclosed
Released29 October 2026
Source and note: ReleasedA agibot.com/article/231/detail/131.html · Retrieved 30 October 2026Note. [A] “October 29, 2026”
Input and output0/4 disclosed
Model typeNot stated
Source and note: Model typeA agibot.com/article/231/detail/131.html · Retrieved 30 October 2026Note. AGIBOT calls the framework World Reasoning Action Model, not world action model: “a next-generation embodied foundation model built around a unified reasoning, prediction and action framework called WRAM (World Reasoning Action Model)”.
InputsNot stated
What it controlsNot stated
Degrees of freedom controlledNot stated
Size and speed0/2 disclosed
ParametersNot stated
Control rateNot stated
Where it runs and what it is built on0/2 disclosed
On robot or cloudNot stated
Base modelNot stated
Openness0/3 disclosed
AccessNot stated
Licence documentNot stated
Licence typeNot stated
The developer’s own claims0/2 disclosed
Learns new tasksNot stated
Source and note: Learns new tasksA agibot.com/article/231/detail/131.html · Retrieved 30 October 2026Note. The developer describes both zero-shot and few-shot use, which fit two different values: “AGIBOT demonstrated zero-shot and few-shot capabilities”.
Works across robotsNot stated
Source and note: Works across robotsA agibot.com/article/231/detail/131.html · Retrieved 30 October 2026Note. AGIBOT states a design goal, not a list of robot models: “The model is designed to help robots anticipate the consequences of their actions, adapt to changing environments and generalize beyond previously learned task sequences.”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.
Notes
AGIBOT unveiled GO-3 Preview at AGIBOT Innovation Day 2026 in Shanghai.
AGIBOT builds GO-3 Preview around a unified reasoning, prediction and action framework that it calls WRAM.
Sources
One line per source, not per figure: a source has one retrieval date.
- Aagibot.com/article/231/detail/131.htmlMain source. Retrieved 30 October 2026