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Autonomous driving planners achieve 35.8% fewer collisions and 60.8% less lane deviation by directly integrating relational rewards into diffusion model training.
Explicitly structuring trajectory priors with Hermite curves can elevate robotic manipulation success rates by nearly 30%, transforming how VLA models handle action execution.