论文标题
掌握学习：模型，方法和性能
Grasp Learning: Models, Methods, and Performance
论文作者
论文摘要
掌握学习已成为机器人技术中令人兴奋和重要的话题。就在几年前，抓住非结构化杂物的新物体的问题被认为是一项严重的研究挑战。现在，这是一种迅速纳入工业供应链自动化的能力。那是怎么发生的？机器人掌握学习中的最新技术状况是什么，使用了哪些方法学方法以及使用了哪些机器学习模型？这篇评论试图概述当前的掌握学习研究的现状。
Grasp learning has become an exciting and important topic in robotics. Just a few years ago, the problem of grasping novel objects from unstructured piles of clutter was considered a serious research challenge. Now, it is a capability that is quickly becoming incorporated into industrial supply chain automation. How did that happen? What is the current state of the art in robotic grasp learning, what are the different methodological approaches, and what machine learning models are used? This review attempts to give an overview of the current state of the art of grasp learning research.
