This paper explores the representation of robot actions in the frequency domain and introduces FreqPolicy, a novel frequency-domain autoregressive framework for hierarchical robotic action generation.

We introduce Image-to-Sphere Policy (ISP), a novel SO(3)-equivariant policy learning framework with single eye-in-hand RGB inputs.