Scanning the Issue

Abstract

Robot learning has advanced tremendously in the last decade. From learning low-level manipulation skills to long-horizon mobile manipulation tasks and autonomous driving, machine learning has accelerated the advancement in the entire spectrum of robotic domains. Much of this success has been fueled by data-driven learning algorithms, massive, curated datasets, and the doubling of computational capacity each year. We also witness more and more learned robotic systems performing tasks in human- centered environments alongside humans. Notable areas include robots in collaborative manufacturing, agriculture, logistics, and search and rescue operations.