Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations

Nature Communications, Published online: 08 June 2026; doi:10.1038/s41467-026-72491-9 This work introduces a generalizable control system that enables rapid adaptation across 33 soft robot configurations via reinforcement learning in a shared Koopman embedding space, enabling real-world skills in carpentry and bartending style tasks.