ALOHA

Headlines · 2

1. 4d
   FluxVLA Engine V2 expands the embodied AI development stack

   LimX Dynamics updated the open-source FluxVLA Engine V2 technical report, adding online reinforcement-learning post-training, broader simulation evaluations, inference optimization, and deployment testing across ALOHA, Rebot, dual-arm Franka, and LimX Oli. The project reports that SmolVLA improved by 10.0 percentage points on LIBERO-10 and 15.4 points on ten RoboTwin Clean tasks after task-specific PPO post-training, while optimized inference paths across eight model-device combinations ran 2.31 to 9.64 times faster. The stack also supports multiple VLA architectures, including OpenVLA, π0.5, DiT4DiT, GR00T, and API-only policies, through shared data, training, evaluation, inference, and deployment workflows.

   雷峰网 AI · 🔥 0
2. Oct 9
   Robot Era's VPP2 tops RoboDojo embodied benchmark, beating GPT-6 Astra

   Robot Era's self-developed world-action model VPP2 topped the RoboDojo simulation leaderboard with a 32.26% average success rate and 39.26 average score, ahead of the reported 22.48% and 28.97 for GPT-6 Astra. The team says it achieved this without extra data or augmentation such as Agent RSI, also ranking first on generalization, fine manipulation and memory, and has open-sourced the model. On real hardware, VPP2 ran 10 zero-shot tasks on an ALOHA dual-arm robot with a 58.5% average success rate versus 40% for π0.5, taking the best result in 9 of 10 tasks.

   36氪 人工智能 · 🔥 0

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