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returns. We target a ~5% spend rate, typical for
，这一点在WPS下载最新地址中也有详细论述
第一是泛化：料箱颜色、尺寸、新旧程度都不同，能不能用同一个模型稳定完成识别、抓取与搬运。第二是导航：搬起之后从A点到B点怎么走，路径规划、避障，途中被打断后能不能续做。第三是策略理解：比如“从面前100个箱子里搬走50个”，机器人能不能理解数量、以及该选择哪50个箱子，到目的地怎么码放，以及放下后要不要把物体取出等等，每个环节都存在问题。
Standing there, I was suddenly transported back to Italy: the smell of tomatoes simmering in the kitchen, the warmth of the sun, the rhythm of daily life centered around simple, beautiful ingredients. Pasta wasn’t complicated. It was pure, intentional and full of flavor. I realized that what was missing in that aisle wasn’t just quality — it was that feeling.