Postdoc, Stanford University
2 papers at NeurIPS 2025
We propose practical methods to incorporate symmetry into Diffusion Policy, improving performance while maintaining simplicity.
We introduce Image-to-Sphere Policy (ISP), a novel SO(3)-equivariant policy learning framework with single eye-in-hand RGB inputs.