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openroboto

Openroboto · v2.0 · depuis Juli 2026 (angekündigt am 8. Juli 2026) · 3× · vu le 07 sept. 2026

43
Momentum

LingBot-VLA 2.0 is an open-source Vision-Language-Action foundation model from Robbyant, an embodied AI company within Ant Group, designed to control robots across diverse morphologies. The model was pretrained on approximately 60,000 hours of data (50,000 hours of robot trajectories across 20 robot configurations plus 10,000 hours of egocentric human video data) and supports arms, grippers, hands, head, waist, and mobile base control. It is built on a Qwen3-VL-4B-Instruct vision-language backbone with a Mixture-of-Transformers/MoE architecture, achieving inference latency under 130ms on an RTX 4090. Code and model weights (6B checkpoint) are freely available under an Apache 2.0 license on GitHub and Hugging Face.

Historique du momentum
11.06.09.09.

Fonctionnalités

Deployment ModelSelf-hosted / local inference, e.g. on RTX 4090 (<130ms latency)
Use Case ScopeRobot control: retail sorting, logistics, industrial automation, care/household robots
Integrations20 robot configurations, 17 hardware brands (incl. Unitree, AgiBot, AgileX, Galaxea, Astribot, Franka)
LicenseApache 2.0 (codebase)
PlatformGitHub & Hugging Face (code, technical report, 6B checkpoint 'lingbot-vla-v2-6b')
PriceFree (open source)
Release DateJuly 8, 2026 (successor to LingBot-VLA 1.0, released January 2026)

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