论文标题
告诉我这是什么：机器人几乎没有射击的对象学习
Tell me what this is: Few-Shot Incremental Object Learning by a Robot
论文作者
论文摘要
对于许多应用程序，需要对机器人进行逐步培训，以识别应用程序所需的特定对象。本文提出了一个实用的系统，用于逐步训练机器人，仅使用人类提供的一小部分视觉示例来识别不同的对象类别。该论文使用最近开发的最新方法来几乎没有对象的增量学习。在逐步学习对象类后，机器人执行表格清洁任务，将对象组织为人类指定的类别。我们还展示了系统学习对象排列并预测丢失或错误放置对象的能力。实验评估表明，我们的方法与一次构成理论上界限的所有示例（批次训练）的系统几乎相同。
For many applications, robots will need to be incrementally trained to recognize the specific objects needed for an application. This paper presents a practical system for incrementally training a robot to recognize different object categories using only a small set of visual examples provided by a human. The paper uses a recently developed state-of-the-art method for few-shot incremental learning of objects. After learning the object classes incrementally, the robot performs a table cleaning task organizing objects into categories specified by the human. We also demonstrate the system's ability to learn arrangements of objects and predict missing or incorrectly placed objects. Experimental evaluations demonstrate that our approach achieves nearly the same performance as a system trained with all examples at one time (batch training), which constitutes a theoretical upper bound.
