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English(EN) Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference

Jetson-PI 方法可在板载设备上高效部署 VLA 模型

研究人员开发了 Jetson-PI,这是一种用于在 NVIDIA Jetson Orin 等低功耗板载设备上部署视觉-语言-动作 (VLA) 模型的新颖方法。该方法解决了 VLA 模型固有的高计算复杂度、推理延迟和控制频率的挑战。Jetson-PI 采用前瞻性对齐的异步校正技术来改善感知-执行对齐并减少反应时间,在基准测试中实现了控制频率和成功率的显著提升。 AI

影响 使边缘设备上的 AI 功能更加强大,可能带来更复杂的实时机器人应用。

排序理由 该集群包含一篇详细介绍 AI 模型部署新方法的学术论文。

在 arXiv cs.AI 阅读 →

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Jetson-PI 方法可在板载设备上高效部署 VLA 模型

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zebin Yang, Qi Wang, Yunhe Wang, Xiurui Guo, Bo Yu, Shaoshan Liu, Jiafeng Xu, Hao Dong, Meng Li ·

    Jetson-PI: 迈向通过前瞻对齐的异步推理实现板载实时机器人控制

    arXiv:2607.12659v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have achieved impressive performance on diverse embodied tasks. However, deploying VLA models on low-power onboard devices, such as the Jetson Orin, remains challenging due to their high computa…

  2. arXiv cs.AI TIER_1 English(EN) · Meng Li ·

    Jetson-PI:通过前瞻性对齐的异步推理实现板载实时机器人控制

    Vision-Language-Action (VLA) models have achieved impressive performance on diverse embodied tasks. However, deploying VLA models on low-power onboard devices, such as the Jetson Orin, remains challenging due to their high computational complexity, which leads to substantial infe…