DEPLOYDatabase

Brain

GraspVLA (Galbot)

Galbot's grasping foundation model, GraspVLA (launched Jan 2025): an end-to-end Vision-Language-Action model pre-trained on SynGrasp-1B, a billion-frame synthetic grasping dataset with photorealistic rendering and domain randomization. Enables zero-shot generalization to new grasping tasks without additional training, powering dexterous manipulation on Galbot's robots.

Foundation model · Maturity: Research · Closed · Powers 1 robot

Machine-readable surfaces

Key facts

Model type
Vision-Language-Action model
Maturity stage
research
Open source
no
Training data
SynGrasp-1B, a billion-frame synthetic grasping dataset with photorealistic rendering and domain randomization
Architecture
end-to-end Vision-Language-Action model

Developed by (1)

Powers (1)

Where GraspVLA (Galbot) runs

Deployments of robots powered by GraspVLA (Galbot), by place and type.

Common questions

What is GraspVLA (Galbot)?
Galbot's grasping foundation model, GraspVLA (launched Jan 2025): an end-to-end Vision-Language-Action model pre-trained on SynGrasp-1B, a billion-frame synthetic grasping dataset with photorealistic rendering and domain randomization. Enables zero-shot generalization to new grasping tasks without additional training, powering dexterous manipulation on Galbot's robots.
Which robots run on GraspVLA (Galbot)?
1 robot model on the DEPLOY registry runs on GraspVLA (Galbot): Galbot G1.
Who developed GraspVLA (Galbot)?
GraspVLA (Galbot) is credited to Galbot on the DEPLOY registry. Each developer attribution is verified via primary sources.
Is GraspVLA (Galbot) open source?
No. GraspVLA (Galbot) is recorded as proprietary on the DEPLOY registry. Model weights and source are not publicly available.
What type of AI is GraspVLA (Galbot)?
GraspVLA (Galbot) is a foundation model on the DEPLOY registry.

Sources (2)

  1. https://arxiv.org/abs/2505.03233
  2. https://roboticsandautomationnews.com/2025/07/03/galbot-raises-151-million-to-scale-embodied-ai-humanoid-robots-partners-with-bosch-investment-arm/92864/
Methodology: Verified · 2 sources (no primary) · last reviewed 2026-06-28

Verification posture

Verified

Low confidence

Review state

Stable

Last reviewed 2026-06-28

Maturity + lifecycle

Maturity stage: research

Sources by quality tier

1
preprint
Preprint
1
unclassified
Unclassified source

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

Methodology surface for GraspVLA (Galbot).

Canonical ID 6ab6bd66-6794-4509-bb25-12479104d5a2