AgibotChina2026

GCFM

Key figures as stated by the developer

1 of 7 key figures stated

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

2 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
Released	17 April 2026	[A] "SHANGHAI, CHINA - April 17, 2026" ⁠A
Input and output
Model type	not stated	Note AGIBOT's own name is "GCFM (Generative Control Foundation Model)"; it does not call it a vision-language-action or world action model. ⁠A
Inputs	`language` `audio`	AGIBOT says GCFM "turns text, audio, or video inputs into natural, context-aware robot motions in real time". ⁠A
Controls	not stated	Note The announcement says robot motions, without naming the controlled body. ⁠A
Degrees of freedom controlled	not stated
Size and speed
Parameters	not stated
Control rate	not stated	Note The announcement says real time and gives no rate. ⁠A
Where it runs and what it is built on
On robot or cloud	not stated
Base model	not stated
Openness
Access	not stated
Licence terms	not stated
Licence	not stated
The developer’s own claims
Learns new tasks	not stated
Works across robots	not stated	Note The announcement speaks of scenarios, not robot models: "allowing dynamic improvisation and adaptation across entertainment and industrial scenarios". ⁠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

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AGIBOT presented GCFM as one of eight foundation models at its 2026 Partner Conference.

Versions and notes in the key figures (3)

Model type

Note AGIBOT's own name is "GCFM (Generative Control Foundation Model)"; it does not call it a vision-language-action or world action model.

Controls

Note The announcement says robot motions, without naming the controlled body.

Inputs

AGIBOT says GCFM "turns text, audio, or video inputs into natural, context-aware robot motions in real time".

A Primary source. www.agibot.com/article/231/detail/63.html · Retrieved 2026-10-19

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.