Robbyant/lingbot-vla

Health v2 · maintenance only

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1777 stars · 183 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LingBot-VLA is a Vision-Language-Action foundation model for robot manipulation, pretrained on 20,000 hours of real-world dual-arm robot data. It includes training and inference code, pretrained checkpoints (with and without depth), and efficient post-training support for custom robot setups.

Use cases

• train a VLA model for dual-arm robot manipulation
• post-train a pretrained VLA foundation model on my own robot data
• run robot policy inference from camera images and language instructions
• fine-tune a vision-language-action model efficiently on GPU
• evaluate a robot policy in simulation benchmarks
• get pretrained VLA weights for a bimanual robot arm

When to choose

• you need a strong VLA base model for real-robot manipulation
• you want faster VLA training than existing codebases
• you work with dual-arm robot configurations supported by its pretraining data

When to avoid

• you need a general-purpose LLM or chatbot
• you have no robot hardware or simulation setup
• you need non-PyTorch or CPU-only training

Facets

library · maturity active

machine-learning deep-learning llm-training robotics artificial-intelligence machine-learning robotics deep-learning python vla vision-language-action foundation-model embodied-ai robot-learning post-training lerobot linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Robbyant/lingbot-vla")