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LIBERO contains robot manipulation demonstrations organized into five task suites for lifelong learning research, including the LIBERO-90 and LIBERO-spatial sets. Created by Yifeng Zhu and updated in May 2025, the data provides expert trajectories stored in HDF5 format for benchmarking imitation learning algorithms.
Users must utilize the download scripts from the official LIBERO repository to correctly interface with these HDF5 files; the dataset is specifically designed to work with the LIBERO simulation environment.