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我国人形机器人今年整机产量有望破 10 万台
我国人形机器人今年产量有望破10万台，AI产业规模突破1.2万亿元，机器人学校也正式开学了。
IT之家 7 月 7 日消息，据央视新闻报道，在今日举行的 2026 世界人工智能大会暨人工智能全球治理高级别会议新闻发布会上，工业和信息化部相关负责人披露了中国人工智能产业的最新发展态势。当前，人工智能产业持续壮大，“人工智能 + 制造”日益深入，人工智能生态不断优化。 IT之家注意到，据官方测算…
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MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
论文提出MAGIK框架，通过想象力实现类比目标映射的知识迁移，为机器人学习和AI泛化开辟新路径。
arXiv:2506.01623v4 Announce Type: replace Abstract: Humans excel at analogical reasoning - applying knowledge from one task to a related one with mini…
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MagicSim: A Unified Infrastructure for Executable Embodied Interaction
具身智能新基建：MagicSim统一仿真平台，打通控制、技能与规划的“可执行”交互链。
arXiv:2606.17511v1 Announce Type: cross Abstract: Robot learning and embodied agents now require simulation to serve as a shared execution substrate l…
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RGB-S: Image-Aligned Tactile Saliency for Robust Dexterous Manipulation
机器人灵巧手如何精准抓取？这篇论文提出了RGB-S方法，将触觉与视觉对齐提升操作鲁棒性。
arXiv:2606.08765v1 Announce Type: cross Abstract: Effective visuo-tactile integration is critical for robotic dexterous manipulation, especially when …
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Light-WAM: Efficient World Action Models with State-Fusion Action Decoding
轻量级世界动作模型Light-WAM，通过状态融合动作解码实现高效推理，为具身智能与机器人学习带来新突破。
arXiv:2606.08242v1 Announce Type: new Abstract: World Action Models (WAMs) extend robot policy learning by incorporating future prediction as an addit…
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How Visible Are Silent Manipulation Failures? An Observability Study of False-Success Detection in Simulated Robot Episodes
机器人任务评估中的“假成功”现象有多隐蔽？一项关于静默操纵失败可观察性的模拟研究，揭示常见检测盲区。
arXiv:2606.03134v1 Announce Type: cross Abstract: Imitation-learning policies for robot manipulation inherit the quality of the success labels attache…
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波士顿动力 Atlas 人形机器人学踢足球，计划亮相 2026 世界杯
IT之家 5 月 27 日消息，2026 年世界杯前夕，波士顿动力公司发布了一段视频。画面中，旗下 Atlas 人形机器人正对着大屏幕播放的历届赛事画面，学习足球动作。 IT之家注意到，机器人仔细观察球员动作后，来到训练区域，复刻刚刚看到的动作。其中一段画面里，Atlas 调整重心、向前摆腿，稳稳地…
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Overcoming Dynamics-Blindness: Training-Free Pace-and-Path Correction for VLA Models
VLA模型存在动力学盲点？这篇论文提出无需训练的步速与路径校正方法，突破单帧观测局限。
arXiv:2605.11459v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models achieve remarkable flexibility and generalization beyond…
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Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking
提出概率块掩码机制，直击VLA强化学习后训练计算瓶颈，显著提升效率。
arXiv:2605.16154v1 Announce Type: new Abstract: Reinforcement learning (RL) allows vision-language-action (VLA) policies to generalize beyond their tr…
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PhysBrain 1.0 Technical Report
从人类自我中心视频提取物理常识监督，助力机器人学习更广物理理解的新方法
arXiv:2605.15298v1 Announce Type: cross Abstract: Vision-language-action models have advanced rapidly, but robot trajectories alone provide limited co…