OpenDriveLab/AgiBot-World resource

Health v2 · maintenance only

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Adoption not part of the score

3157 stars · 217 forks observed · 2026-08-28

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

AgiBot World Colosseo is a large-scale open-source robot manipulation dataset with over one million trajectories across 217 real-world tasks, collected by 100+ homogeneous robots, plus the GO-1 robotic foundation model pretrained on it. It provides a full-stack embodied AI ecosystem including benchmarks, task catalogs, and lightweight model variants for scalable robot learning.

Use cases

• train a robot manipulation policy on large-scale real-world data
• pretrain a vision-language-action model for bimanual manipulation
• benchmark generalist robot policies against Open X-Embodiment baselines
• download robot trajectories for dexterous and long-horizon manipulation research
• fine-tune the GO-1 foundation model on custom robot tasks
• find embodied AI datasets for dual-arm and collaborative manipulation

When to choose

• you need large-scale, high-fidelity real-world manipulation data for robot learning
• you want a pretrained generalist policy baseline for manipulation research
• your work targets bimanual, dexterous, or long-horizon real-world tasks

When to avoid

• you need a non-commercial license dataset (CC BY-NC-SA 4.0)
• your focus is simulation-only or low-cost tabletop lab data
• you lack storage/compute for multi-terabyte datasets

Facets

dataset · maturity active

machine-learning deep-learning robotics data-science robotics machine-learning artificial-intelligence python robot-manipulation embodied-ai vision-language-action robot-foundation-model bimanual-manipulation imitation-learning huggingface-dataset go-1 datasets gpu linux

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markdown · JSON · MCP: product_card(name="OpenDriveLab/AgiBot-World")