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Benchmark

LIBERO

Reported in 31 papers on Zotpaper. The latest, each as the paper states it:

AI robot controllers raise average task success from 33% to 95%85% success rate
Simple prompt trick stops AI agents from faking progress in robot tasks51.4% Success@25
Scoring imagined futures and actions before execution triples robot success rates78.3% mean success

LIBERO-Plus (16)LIBERO-PRO (6)LIBERO-Long (3)All benchmarks →

2 results for “LIBERO”

Research · Robotics & embodied AI
Robots can use human videos before learning their own controls
RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions
Zhao and colleagues pretrained a robot policy on motion representations extracted from 30,100 hours of video, then adapted it to specific robots and evaluated manipulation performance.
LIBERO: 98.8% success (as reported)
30 Oct 2026Hong Kong Embodied AI Lab, CUHK, PUMC
Research · Robotics & embodied AI
Action-aware embeddings retrieve better robot experiences for future actions
Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution
Robota-Embed matches a robot’s current task and execution stage to useful recorded continuations, improving retrieval and downstream policy performance.
LIBERO difficult subset: 92.8% success (as reported)
15 Oct 2026NVIDIA, MIT, UCB