Extending robot minds through collective learning

Abstract

The current trend toward generalist robot behaviours powered by massive, monolithic AI models is unsustainable. This viewpoint article argues for a paradigm shift toward collective robotic intelligence — a "mixture-of-robots" approach where diverse, specialised agents learn and work together, inspired by natural systems where cooperation among specialised components leads to greater intelligence and resilience.

Paper