What AIs are not learning (and why)

Today's robots do not yet learn the general skills that are necessary to provide home care, to be nursing assistants, to interact with people, or do household chores nearly as well as people do. Addressing the aspirational goal of creating service robots requires improving how they are created. Today's mainstream AIs are not created by agents learning from experiences doing tasks in real-world contexts and interacting with people. Today's robots do not learn by sensing, acting, doing experiments, and collaborating. Future robots will need to learn from such experiences in order to be ready for robust deployment in human service applications. This paper investigates what aspirational future autonomous human-compatible service robots will need to know. It recommends developing experiential (robotic) foundation models (FMs) for bootstrapping them.