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After Generalist, Jianlan Luo’s Team Releases LWD for Embodied AI Training

Generalist之后,罗剑岚团队推出LWD,也要变革具身智能训练范式

Jianlan Luo’s team and Agibot released LWD, tested on 16 Agibot G1 robots in real settings. LWD Online scored 0.95 across 8 tasks and 0.91 on long-horizon tasks. Its offline-to-online RL uses failures as data; failed trajectories were 34.8% of a 652.5-hour pool.

Why it matters: HKR-H/K/R all pass: LWD has real-robot scale, task counts, success rates, and failure-trajectory share. Robotics is narrower than a foundation-model launch, so it lands at 78, not P1.

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