DISCERN for Generalizable Robotic Contexts

This work demonstrates DISCERN (Detection Image System with Commonsense Efficient Ranking Network), a novel generalizable task-ranking approach to improve human-robot collaboration via "discern"-ing with commonsense knowledge (CSK) derived from huge data repositories, augmented with image models and other everyday premises. It is an explainable, efficient solution useful to dynamic multipurpose robots.