Class definition
A version string is not a hardware specification. A paper repository does not prove that checkpoint runs on an unmentioned robot. G1, S1, and TM01 hardware numbers stay on their class pages.
Identity. Galbot G1 (wheeled dual-arm) ≠ Unitree G1 (biped) ≠ Galbot ET1 (biped). Galbot’s Chinese product line calls G1 a “通用人形机器人”; its Quick Start form remains wheeled.
ET1 software boundary. AstraBrain-Agent is the named launch architecture.
SDK, URDF and checkpoints
The 2026-09-03 product table adds no SDK or URDF. Same-day sitemap and GitHub still name none, and do not prove LDA-1B, WAM-TTT, LATENT, or Humanoid-GPT released checkpoints run on ET1. No ET1 table here. [M2] [M3]
Genesis identity. The Apache engine is a pinned Python install path. Genesis AI’s 2026 blog describes a same-name company stack. Those are two artifacts.
Engine naming and Eno
The Apache engine: README title “Genesis World,” previously Genesis, academic since Dec 2024. Eno and GENE-26.5 stay on announced and foundation-models pages, not a payload cell.
GalbotSDK
The GitHub README is the version-compatibility source.
Hosted docs and capability areas
The hosted docs introduce galbot_sdk with Python and C++ API references. The public developer site describes five capability areas (perception, planning, control, navigation, interaction) without publishing rates or latencies for those APIs.
Developer subscription (vendor commercial page)
Prices and SLA figures are copied from Galbot’s public developer site. They are commercial terms, not hardware specs. Currency is CNY as printed; tax and procurement status are unpublished.
Official simulation descriptions
These repositories are Apache-2.0 robot descriptions. They prove publication of URDF / MJCF / USD, not payload. Full G1 and S1 hardware sheets stay on the mobile-manipulators page.
Isaac Lab — named Galbot tasks
Task IDs are copied from the Isaac Lab environments page.
“Galbot humanoid” wording
NVIDIA’s table text says “left arm of a Galbot humanoid robot.” That wording is quoted; it is not this landscape’s class for Galbot G1. These tasks do not publish Galbot payload, mass, or runtime.
MuJoCo Menagerie — what is listed
DeepMind’s Menagerie is a third-party MJCF collection. Galbot publishes G1/S1 descriptions separately; they are absent here. Sharpa Wave is an end-effector model, not a Galbot SKU.
Research code on the Unitree G1 evaluation body
GalaxyGeneralRobotics hosts these repositories with a stated Unitree G1 target. Real-robot result numbers stay on the research page.
The Humanoid-GPT repo blurb currently reads “Official implementation of AstraBrain-WBC 0.5.” The README still names a 29-DoF Unitree G1 target. That is the nearest public WBC code link, not a proven checkpoint identity on every Galbot product.
Genesis World — open-source engine
Native feasibility review: pinned Newton and Genesis examples, runtime requirements and remaining qualification work.
The README publishes no MuJoCo / Isaac Gym speedup factor; that cell stays empty.
Genesis World 1.0 — company blog
Genesis AI’s 2026 product blog is company narrative, not a third-party benchmark or a substitute for the Apache README.
What the company blog states
Genesis World 1.0 is presented as the simulation half of Genesis AI’s stack, next to GENE-26.5 and Eno.
Named pieces: Nyx, Quadrants, a unified rigid/deformable physics platform, and a simulation interface. No license, parameter count, or independent speedup table is published there. [P1]
Related systems
Eno status: announced systems. GENE-26.5 policy and company details: foundation models.
Peer physics engines and stacks
Throughput versus genesis-world is unpublished here, so that row stays empty.
License ids and ManiSkill repository
SAPIEN and Drake have license files but the GitHub license API returned no SPDX id; the cells say so. ManiSkill’s live repository is mani-skill/ManiSkill, not haosulab/ManiSkill.
Developer ecosystems — repository map
A public SDK is not the same thing as a public robot description, and a simulation repository is not necessarily a real-robot deployment path.
What the map compares
This map keeps those surfaces separate. It compares repository coverage, not API quality, timing, safety, or hardware capability.
Robot-learning runtime topology
These are deployment contracts, not a model leaderboard.
Columns and rows
The columns are different artifact kinds—a foundation-model platform, an on-device VLA, and an open robot-learning library—but the rows ask the same operational questions: where inference runs, what crosses the boundary, what is available, and what the publisher explicitly excludes.
Mixed-fleet interoperability
Interoperability is an operational relationship, not a chassis specification.
VDA 5050 and Open-RMF
VDA 5050 defines cross-manufacturer exchange with a master control system; Open-RMF coordinates fleets and shared building infrastructure. A robot appearing elsewhere on this site is not marked compatible unless its own evidence establishes that edge.
Other vendor SDKs with public docs
These rows are software surfaces, not robot spec sheets.
Where hardware numbers sit
Hardware numbers for Booster T1, Booster K1, Reachy 2, and Fourier GR-2 sit on their class pages. Fourier N1 hardware numbers are on the humanoids page.