具身智能采用鸟瞰图以实现可扩展机器人数据

报道来源 [6]

1. 量子位 (QbitAI) TIER_1 中文(ZH) · 量子位的朋友们 · 2026-06-12 04:11

   BEV进入具身智能：跨维度赋能机器人数据驶入快车道

2. arXiv cs.AI TIER_1 English(EN) · Xin Zhou, Cong Miao · 2026-06-12 04:00

   EWAM：一种增强型世界动作模型，用于具身智能的闭环在线自适应

   arXiv:2606.12690v1 Announce Type: cross Abstract: In this paper, we propose the Enhanced World Action Model (EWAM), a closed-loop online adaptation architecture built upon a pretrained and fully frozen Cosmos3 backbone network. Evaluated entirely under a zero-shot task protocol, …

3. arXiv cs.AI TIER_1 English(EN) · Yifu Yuan, Yaoting Huang, Xianze Yao, Yutong Li, Shuoheng Zhang, Linqi Han, Pengyi Li, Jiangeng Sun, Wenting Jia, Zhao Zhang, Yuhao Liu, Ruihao Liao, Yucheng Hu, Qiyu Wu, Yuxiao Li, Zibin Dong, Fei Ni, Yan Zheng, Shuyang Gu, Yi Ma, Hongyao Tang, Han Hu, … · 2026-06-11 04:00

   Embodied-R1.5：通过具身基础模型进化物理智能

   arXiv:2606.11324v1 Announce Type: cross Abstract: We introduce Embodied-R1.5, a unified Embodied Foundation Model (EFM) that integrates comprehensive embodied reasoning capabilities, spanning embodied cognition, task planning, correction, and pointing, within a single architectur…

4. Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-09 00:00

   Embodied-R1.5：通过具身基础模型进化物理智能

   Embodied-R1.5 is a unified embodied foundation model that integrates embodied reasoning capabilities and achieves state-of-the-art performance on embodied vision-language benchmarks through a multi-task balanced reinforcement learning approach.

5. arXiv cs.CV TIER_1 English(EN) · Senkang Hu, Zhengru Fang, Yihang Tao, Zihan Fang, Sam Tak Wu Kwong, Yuguang Fang · 2026-06-15 04:00

   多智能体具身自动驾驶：从V2X信息交互到共享世界模型

   arXiv:2606.13840v1 Announce Type: cross Abstract: Autonomous driving is shifting from isolated vehicle intelligence toward multi-agent embodied systems that share perception, infer intent, and coordinate action under uncertainty. This survey examines this transition through the l…

6. arXiv cs.CV TIER_1 English(EN) · Yuguang Fang · 2026-06-11 19:10

   多智能体具身自动驾驶：从V2X信息交互到共享世界模型

   Autonomous driving is shifting from isolated vehicle intelligence toward multi-agent embodied systems that share perception, infer intent, and coordinate action under uncertainty. This survey examines this transition through the lens of Shared World Models (SWMs): predictive cros…