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ChunkAct: Action Chunking for Agentic Robotics
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, moti
按时间倒序排列。用上方导航或分类/标签可以按主题浏览。
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, moti
Collaborative planning under operational constraints is essential for heterogeneous robot teams in large-scale missions.
World models (WMs) and world-action models (WAMs) focus on future world prediction and executable action generation, res
World models have emerged as a promising paradigm for embodied AI, yet existing systems often remain fragmented in the m
A robot following a multi-step instruction needs to act on the right objects in the right order, even as the scene chang
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Foundation models for tables and relational databases are increasingly used for predictive tasks across various scientif
它覆盖 23.5 平方公里,相当于 3291 个标准足球场,由 18.6 万张航拍与地面影像、150 亿个雷达点云训练而成,规模达 62 亿个高斯椭球。镇口的牌坊、红顶白墙的街区、通向远方的道路与山前转动的风机,都被收进了同一个连续的模型里
字节跳动 Seed 近日发出内部邮件,宣布将成立“Seed Model-Alignment&Preparedness”部门,由严林负责,汇报给 Seed 负责人吴永辉。原 Responsible AI 团队及部分 Chat 团队成员将转入新
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