What AIs are not Learning (and Why)
It addresses the problem of enabling robots to perform complex service tasks for applications such as healthcare and domestic assistance, but is incremental as it builds on existing foundation model concepts.
The paper identifies that current AI and robots lack general skills for real-world service tasks like home care, and recommends developing experiential robotic foundation models to bootstrap such capabilities.
Today's robots do not learn the general skills needed for such services as providing home care, being nursing assistants, or doing household chores. Addressing such aspirational goals requires improving how AIs and robots are created. Today's mainstream AIs are not created by agents learning from experiences doing real world tasks and interacting with people. They do not learn by sensing, acting, doing experiments, and collaborating. This paper investigates what aspirational service robots will need to know. It recommends developing experiential (robotic) foundation models (FMs) for bootstrapping them.