谷歌为190亿美元AI数据中心租约提供信用支持
谷歌为190亿美元AI数据中心租约提供信用支持双臂机器人在拥挤桌面上以推送完成交接
传统双臂协作往往约定一个固定交接点，双方需要一同到场。在物体密集的桌面上，这会占用原本就少的空间，还可能让机械臂在等待中相互牵制。研究团队沿双臂可达范围的公共边界寻找无碰撞空隙，让一只机械臂先把物体放到附近，再推送进入另一只机械臂的工作区。接收方不必在交接瞬间同时接触物体。 Mohammadreza Firoozalizadeh等人的这项研究收录在11月6日更新的计算机科学预印本列表中。
规划器用联合蒙特卡洛树搜索决定何时暂存、堆叠或转移物体，完成规划后再计算动作代价。实验比较了这一方式和固定交接点方案，桌面更拥挤时，推送交接能缩短两只机械臂的联合执行序列，并降低执行成本。物品较少时则能保持相近表现。作者考察的是桌面重排任务，优势随空间紧张程度而变化。
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