3 papers - avg viability 6.3
KnowDiffuser integrates language models and diffusion models for advanced motion planning in autonomous driving.
GNN-DIP leverages Graph Neural Networks for efficient corridor selection in motion planning, enhancing pathfinding in complex environments.
A novel representation learning approach for constrained motion planning that improves success rates and reduces planning time by intelligently selecting start and goal configurations.