Training-Free Diffusion Planning with Analytical Local Scores
This method creates a motion planner that doesn't need training by using analytical local scores instead of learned global scores. It replaces complex trajectory scoring with four simple factors—smoothness, obstacle avoidance, agent separation, and dynamic feasibility—to guide iterative denoising updates directly from the problem's structure.