Lifelong-Robot-Learning LIBERO - GitHub LIBERO is designed for studying knowledge transfer in multitask and lifelong robot learning problems Successfully resolving these problems require both declarative knowledge about objects spatial relationships and procedural knowledge about motion behaviors
LIBERO – LIBERO We offer LIBERO, a benchmark that is tailored to the nature of lifelong robot learning — a benchmark that can continually grow We build this benchmark to invite communities of machine learning and robotics people to study a core problem in lifelong learning: knowledge transfer
LIBERO - Hugging Face LIBERO is a benchmark designed to study lifelong robot learning The idea is that robots won’t just be pretrained once in a factory, they’ll need to keep learning and adapting with their human users over time