2026
Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning
ICRA 2026poster
Diffusion policies are a powerful paradigm for robot learning, but their training is often inefficient. A key reason is that networks must relearn fundamental spatial concepts, such as translations and rotations, from scratch for every new task. To alleviate this redundancy, we propose embedding geo…