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Forget hierarchical planners – RL can directly control spherical robots for efficient point-to-point navigation, even transferring learned policies from simulation to the real world.
VLMs can now leverage the power of 3D geometric understanding for autonomous driving tasks thanks to a simple plug-and-play module.
Ditch the discrete anchors: MeanFuser achieves state-of-the-art autonomous driving trajectory generation by using a continuous Gaussian Mixture Noise representation and a mean-flow formulation for faster, more robust planning.
By decoupling generation and refinement experts within a masked diffusion VLA model, DriveFine achieves both flexible decoding and self-correction for autonomous driving.
