Lifelong-Robot-Learning/LIBERO resource

Health v2 · maintenance only

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2238 stars · 462 forks observed · 2026-08-28

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

LIBERO is a benchmark for studying knowledge transfer in multitask and lifelong robot learning, built on a procedural generation pipeline for manipulation tasks. It provides 130 tasks across four suites, datasets, policy architectures, and lifelong learning algorithm baselines.

Use cases

• benchmark knowledge transfer in lifelong robot learning
• evaluate imitation learning policies on manipulation tasks
• study multitask learning with controlled distribution shifts
• pretrain and test policies on LIBERO-90/LIBERO-10 splits
• compare lifelong learning algorithms against sequential finetuning baselines

When to choose

• you need standardized manipulation task suites for continual/lifelong learning research
• you want procedurally generated robot manipulation tasks with datasets and baselines

When to avoid

• you need real-robot hardware experiments rather than simulation benchmarks
• you work outside robot learning, e.g. NLP or vision-only benchmarks

Facets

dataset · maturity active

benchmarking machine-learning simulation testing robotics machine-learning reinforcement-learning simulation python imitation-learning lifelong-learning manipulation multitask-learning robot-learning benchmark procedural-generation continual-learning linux gpu

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markdown · JSON · MCP: product_card(name="Lifelong-Robot-Learning/LIBERO")