GENERAL·Nature.com·
Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations
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.
Summary curated by Max Robotics. Original article © Nature.com.