OpenVLA-OFT

Headlines · 2

1. 4d
   Qiyuan Robotics releases PrimeSim robot world model

   Qiyuan Robotics’ Embodied Intelligence Research Center released PrimeSim, an interactive world-model simulator for robotic manipulation, according to 36Kr and Machine Heart. Built from a pretrained video-generation model, PrimeSim reportedly supports cross-embodiment few-shot transfer, continuous rollouts exceeding two minutes, and reinforcement learning; its weights and inference and training code are planned for open-source release. The research team reports a 6.09 composite score on EWMBench and first place in three of WorldSimProbe’s five dimensions, while 36Kr says reinforcement learning raised policy success from 61.7% to 73.2%.

   机器之心 · 🔥 0
2. 5d
   Geek+ introduces Gravity Control for robot runtime error correction

   Geek+ recently introduced Gravity Control under its Gravity embodied-intelligence framework. The report says the method uses causal interventions on internal model features so natural-language prompts such as “grab the bread deeper” can correct local action deviations without updating the original policy weights or adding demonstration data. In reported physical-robot tests on out-of-distribution manipulation tasks, overall success rose from 17.5% to 87.5%, while the sideways-bread task improved from 5% to 95%. The method is intended to correct execution deviations when the robot already possesses the relevant skill, rather than teach it a new task.

   新智元 · 🔥 0

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