2024/03/19 by Mark Stefik, Stefik, Mark
Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Modular Robots and Swarm Intelligence #Scientific Computing and Data Management
paper · pdf · doi:10.48550/arxiv.2404.04267
openalex publication_date 2024/03/19 · openalex created_date 2024/04/10 · openalex updated_date 2026/07/28
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.