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English(EN) UniTrackPLA: Unified Panorama-Language-Action Model for Instruction-Guided Navigation and Dynamic Person Tracking

UniTrackPLA模型统一机器人导航和行人跟踪

研究人员开发了UniTrackPLA,这是一种新颖的模型,可统一用于具身机器人的指令引导导航和动态行人跟踪。该模型利用全景感知编码来处理全向观测,并使用共享的视觉-语言骨干来解释指令和预测机器人动作。UniTrackPLA还结合了世界-动作一致性进行在线验证和重新规划,从而提高了导航和跟踪任务的性能。在OmniTrackNav-Bench和Go2-W等真实机器人上的实验证明了其在各种环境中的有效性。 AI

影响 这种统一的方法可以加速开发更通用、更强大的具身人工智能系统,以用于实际应用。

排序理由 该集群描述了一种新的具身人工智能任务研究模型和基准。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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UniTrackPLA模型统一机器人导航和行人跟踪

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该集群描述了一种新的具身人工智能任务研究模型和基准。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Pengfei Qi, Haoran Lin, Sizhuang Chen, Kai Luo, Sirui Zhang, Xinqi Liu, Fei Cheng, Wenrui Chen, Liming Yin, Kailun Yang ·

    UniTrackPLA:用于指令导航和动态人员跟踪的统一全景-语言-动作模型

    arXiv:2610.00878v1 Announce Type: cross Abstract: General-purpose embodied robots should support both navigation toward language-specified destinations and dynamic person tracking under arbitrary initial target azimuths. However, existing methods typically rely on forward-facing …