SOURCE-LINKED INTELLIGENCE
LieSpline-DP: Lie-Group B-Spline Diffusion Policy for Smooth Robot Manipulation
Diffusion Policy (DP) is a powerful Learning from Demonstration (LfD) method for robotic manipulation, yet it suffers from discontinuous and non-smooth trajectories. Spline-based action representations promote smooth motion within individual action chunks, but existing spline-based methods neither guarantee cross-chunk $C^2$ continuity nor account for the group structure of $\mathrm{SE}(3)$. We therefore propose LieSpline-DP, a Lie-group B-spline diffusion policy that generates end-effector trajectories directly on $\mathrm{SE}(3)$ and couples consecutive plans by sharing their boundary contro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T07:45:55.000Z
First collected: 2026-09-20T11:41:07.830Z. This is not the publication date.