Genie Operator-1 (GO-1)
Open-source generalist embodied model with a Vision-Language-Latent-Action (ViLLA) hierarchy, trained on a million real trajectories.
About
GO-1 is the flagship model of Shanghai-based Zhiyuan Robotics, announced in spring 2025 and open-sourced that September. Its pitch is an architecture called ViLLA — Vision-Language-Latent-Action — which inserts a layer of implicit 'latent action' tokens between perception and control. Three pieces cooperate at inference: a VLM (InternVL-2B) that reads multi-view images, force signals, and language; a Latent Planner that turns those into latent action tokens (a 'chain of planning'); and a diffusion-based Action Expert that converts them into continuous high-frequency actions. The training fuel is AgiBot World, the company's own million-trajectory real-robot dataset across 217 tasks, plus human videos for the planner. Zhiyuan also ships Genie Studio, a dev platform for data collection, training, and sim evaluation. Capabilities like few-shot generalization and cross-embodiment transfer are company-reported; treat them as such until the open weights get independent mileage.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
- Company-reported: few-shot generalization, cross-embodiment transfer, learning from human videos
- No independent benchmarks on the released weights found
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (TIER verified, metrics-v1). Evidence: Zhiyuan/AgiBot launch with technical report; model open-sourced on GitHub September 2025; built on the public AgiBot World million-trajectory dataset. Strengths: genuinely open release, novel ViLLA hierarchy, real-robot data scale. Docked for: (1) capability claims are company-reported with no independent benchmarks on the weights yet; (2) license not confirmed from repo metadata at research time. License: unverified — check repo before commercial use.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 9.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · Zhiyuan Robotics (AgiBot) generalist embodied model; ViLLA architecture (InternVL-2B VLM + Latent Planner + diffusion Action Expert)
- · Trained on AgiBot World: 1M real trajectories across 217 tasks, plus human videos
- · Genie Studio dev platform for data collection, training, sim eval (company-reported)